% This file contains the bibtex for publications of Thorsten Joachims.

@inproceedings{Gao/etal/26a,
  author    = {Zhaolin Gao and Joongwon Kim and Wen Sun and T. Joachims and Sid Wang and Richard Yuanzhe Pang and Liang Tan},
  title     = {Prompt Curriculum Learning for Efficient LLM Post-Training},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2026}
}

@inproceedings{Kiyohara/etal/26a,
  author    = {H. Kiyohara and M. Curmei and A. Evnine and S. Kalyanaraman and I. Nir and A. Pop and N. Razin and S. Dean and T. Joachims and U. Weinsberg},
  title     = {Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking},
  booktitle = {International Conference on Machine Learning (ICML)},
  year      = {2026}
}

@inproceedings{Sharma/etal/26a,
  author    = {Vibhhu Sharma and T. Joachims and S. Dean},
  title     = {Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review},
  booktitle = {ACM Conference on Fairness, Accountability, and Transparency (FAccT)},
  year      = {2026}
}

@inproceedings{Lee/etal/26a,
  author    = {Hansol Lee and AJ Alvero and R. Kizilcec and T. Joachims},
  title     = {Does Algorithmic Uncertainty Sway Human Experts? Evidence from a Field Experiment in Selective College Admissions},
  booktitle = {ACM Conference on Fairness, Accountability, and Transparency (FAccT)},
  year      = {2026}
}

@article{Zhou/etal/26a,
  author    = {Joyce Zhou and Weijie Zhou and D. Turnbull and T. Joachims},
  title     = {SteerEval: A Framework for Evaluating Steerability with Natural Language Profiles for Recommendation},
  journal   = {Arxiv},
  year      = {2026}
}

@inproceedings{Lee/etal/26b,
  author    = {Jinsook Lee and C. Borchers and AJ Alvero and T. Joachims and R. Kizilcec},
  title     = {The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays},
  booktitle = {ACM Conference on Learning at Scale (L@S)},
  year      = {2026}
}

@inproceedings{Rastogi/etal/25a,
  author    = {R. Rastogi and Y. Saito and T. Joachims},
  title     = {MultiScale Contextual Bandits for Long-Term Objectives},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year      = {2025}
}

@article{Saito/etal/25a,
  author    = {Y. Saito and Yihan Yao and T. Joachims},
  title     = {POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition},
  journal   = {International Conference on Learning Representations (ICLR)},
  year      = {2025}
}

@inproceedings{Gao/etal/25a,
  author    = {Zhaolin Gao and Joyce Zhou and Yijia Dai and T. Joachims},
  title     = {End-to-end Training for Recommendation with Language-based User Profiles},
  booktitle = {ACM Conference on Information and Knowledge Management (CIKM)},
  year      = {2025}
}

@inproceedings{Kiyohara/etal/25a,
  author    = {H. Kiyohara and Daniel Cao and Y. Saito and T. Joachims},
  title     = {An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization},
  booktitle = {ACM Conference on Recommender Systems (RecSys)},
  year      = {2025}
}

@inproceedings{Lee/etal/25a,
  author    = {Jinsook Lee and AJ Alvero and T. Joachims and R. Kizilcec},
  title     = {Poor Alignment and Steerability of Large Language Models: Evidence Using 30,000 College Admissions Essays},
  booktitle = {COLM Workshop on Social Simulations with LLMs},
  year      = {2025}
}

@inproceedings{Kiyohara/etal/25b,
  author    = {H. Kiyohara and R. Khanna and T. Joachims},
  title     = {Off-Policy Learning for Diversity-aware Candidate Retrieval in Two-stage Decisions},
  booktitle = {ACM RecSys Workshop on Causality, Counterfactuals and Sequential Decision Making (CONSEQUENCES)},
  year      = {2025}
}

@inproceedings{Tucker/etal/24a,
  author    = {A. Tucker and K. Brantley and A. Cahall and T. Joachims},
  title     = {Coactive Learning for Large Language Models using Implicit Feedback},
  booktitle = {International Conference on Machine Learning (ICML)},
  year      = {2024}
}

@inproceedings{Gao/etal/24c,
  author    = {Zhaolin Gao and Jonathan Chang and Wenhao Zhan and O. Oertell and G. Swamy and K. Brantley and T. Joachims and A. Bagnell and Jason Lee and Wen Sun},
  title     = {REBEL: Reinforcement Learning via Regressing Relative Rewards},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year      = {2024}
}

@inproceedings{Rastogi/Joachims/24a,
  author    = {R. Rastogi and T. Joachims},
  title     = {Fairness in Ranking under Disparate Uncertainty},
  booktitle = {ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)},
  year      = {2024}
}

@inproceedings{Lee/etal/24a,
  author    = {J. Lee and E. Harvey and Joyce Zhou and N. Garg and T. Joachims and R. Kizilcec},
  title     = {Ending Affirmative Action Harms Diversity Without Improving Academic Merit},
  booktitle = {ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)},
  year      = {2024}
}

@inproceedings{Guo/etal/24a,
  author    = {Wentao Guo and Andrew Wang and B. Thymes and T. Joachims},
  title     = {Ranking with Slot Constraints},
  booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)},
  year      = {2024}
}

@inproceedings{Buchholz/etal/24a,
  author    = {A. Buchholz and B. London and G. Di Benedetto and J. Lichtenberg and Y. Stein and T. Joachims},
  title     = {Counterfactual Ranking Evaluation with Flexible Click Models},
  booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year      = {2024}
}

@article{Alvero/etal/24a,
  author    = {A. J. Alvero and Jinsook Lee and A. Regla-Vargas and R. Kizilcec and T. Joachims and A. Antonio},
  title     = {Large Language Models, Social Demography, and Hegemony: Comparing Authorship in Human and Synthetic Text},
  journal   = {Journal of Big Data},
  volume    = {11},
  pages     = {138},
  year      = {2024},
  publisher = {Springer}
}

@inproceedings{Zhou/etal/24a,
  author    = {Joyce Zhou and Yijia Dai and T. Joachims},
  title     = {Language-Based User Profiles for Recommendation},
  booktitle = {WSDM Workshop on Large Language Models for Individuals, Groups, and Society},
  year      = {2024}
}

@inproceedings{Kiyohara/etal/24a,
  author    = {H. Kiyohara and Y. Saito and Daniel Yiming Cao and T. Joachims},
  title     = {Prompt Optimization with Logged Bandit Data},
  booktitle = {ICLR Workshop on Navigating and Addressing Data Problems for Foundation Models (DPFM)},
  year      = {2024}
}

@article{Gao/etal/24a,
  author    = {Zhaolin Gao and K. Brantley and T. Joachims},
  title     = {Reviewer2: Optimizing Review Generation Through Prompt Generation},
  journal   = {Arxiv Preprint},
  year      = {2024}
}

@inproceedings{Rastogi/etal/24b,
  author    = {R. Rastogi and Y. Saito and T. Joachims},
  title     = {MultiScale Policy Learning for Alignment with Long Term Objectives},
  booktitle = {ICML Workshop on Models of Human Feedback for AI Alignment},
  year      = {2024}
}

@inproceedings{Gao/etal/24b,
  author    = {Zhaolin Gao and Joyce Zhou and Yijia Dai and T. Joachims},
  title     = {End-to-end Training for Recommendation with Language-based User Profiles},
  booktitle = {RecSys Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems (ROEGEN)},
  year      = {2024}
}

@InProceedings{Brantley/etal/24a,
  author = 	 {K. Brantley and Zhichong Fang and S. Dean and T. Joachims},
  title = 	 {Ranking with Long-Term Constraints},
  booktitle = {ACM Conference on Web Search and Data Mining (WSDM)},
  year = 	 2024}

@InProceedings{Tucker/Joachims/23a,
  author = 	 {A. Tucker and T. Joachims},
  title = 	 {Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits},
  booktitle = {ACM Conference on Web Search and Data Mining (WSDM)},
  year = 	 2023}

@InProceedings{Wang/Joachims/23a,
  author = 	 {Lequn Wang and T. Joachims},
  title = 	 {Uncertainty Quantification for Fairness in Two-Stage Recommender Systems},
  booktitle = {ACM Conference on Web Search and Data Mining (WSDM)},
  year = 	 2023}

@inproceedings{London/etal/23a,
  author    = {B. London and Levi Lu and T. Sandler and T. Joachims},
  title     = {Boosted Off-Policy Learning},
  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  year      = {2023}
}

@InProceedings{Tucker/etal/23a,
  author = 	 {A. Tucker and C. Biddulph and Claire Wang and T. Joachims},
  title = 	 {Bandits with Costly Reward Observations},
  booktitle =  {Conference on Uncertainty in Artificial Intelligence (UAI)},
  year = 	 2023}

@InProceedings{Zhou/Joachims/23a,
  author = 	 {Joyce Zhou and T. Joachims},
  title = 	 {How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making},
  booktitle = {ACM Conference on Fairness, Accountability and Transparency (FAccT)},
  year = 	 2023}

@inproceedings{Saito/etal/23a,
  author    = {Yuta Saito and Qingyang Ren and Thorsten Joachims},
  title     = {Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling},
  booktitle = {International Conference on Machine Learning (ICML)},
  year      = {2023}
}

@inproceedings{Lee/etal/23a,
  author    = {Hansol Lee and R. Kizilcec and T. Joachims},
  title     = {Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions},
  booktitle = {ACM Conference on Learning at Scale (L@S)},
  year      = {2023}
}

@inproceedings{Gao/etal/23a,
  author    = {Ge Gao and Jonathan Chang and C. Cardie and K. Brantley and T. Joachims},
  title     = {Policy-Gradient Training of Language Models for Ranking},
  booktitle = {NeurIPS Workshop on Foundation Models for Decision Making},
  year      = {2023}
}

@inproceedings{Jakimov/etal/23a,
  author    = {M. Jakimov and A. Buchholz and Y. Stein and T. Joachims},
  title     = {Unbiased Offline Evaluation for Learning to Rank with Business Rules},
  booktitle = {RecSys Workshop on Causality, Counterfactuals and Sequential Decision-Making},
  year      = {2023}
}

@inproceedings{Lee/etal/23b,
  author    = {Jinsook Lee and B. Thymes and Joyce Zhou and T. Joachims and R. Kizilcec},
  title     = {Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters},
  booktitle = {AIED Workshop on Equity, Diversity, and Inclusion in Educational Technology Research and Development},
  year      = {2023}
}

@InProceedings{Su/etal/22a,
  author = 	 {Yi Su and M. Bayoumi and T. Joachims},
  title = 	 {Optimizing Rankings for Recommendation in Matching Markets},
  booktitle = {ACM Web Conference (WWW)},
  year = 	 2023}

@InProceedings{Wang/etal/22a,
  author = 	 {Lequn Wang and T. Joachims and M. Gomez Rodriguez},
  title = 	 {Improving Screening Processes via Calibrated Subset Selection},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 	 2022}

@InProceedings{Saito/Joachims/22a,
  author = 	 {Yuta Saito and T. Joachims},
  title = 	 {Off-Policy Evaluation for Large Action Spaces via Embeddings},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 	 2022}

@InProceedings{Saito/Joachims/22b,
  author = 	 {Yuta Saito and T. Joachims},
  title = 	 {Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking},
  booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)},
  year = 	 2022}

@InProceedings{Block/etal/22a,
  author = 	 {A. Block and R. Kidambi and D. Hill and T. Joachims and I. Dhillon},
  title = 	 {Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion},
  booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year = 	 2022}

@inproceedings{Zhou/Joachims/22a,
  author    = {Joyce Zhou and T. Joachims},
  title     = {How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making},
  booktitle = {IJCAI Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies},
  year      = {2022}
}

@inproceedings{Tucker/Joachims/22a,
  author    = {A. Tucker and C. Biddulph and Claire Wang and T. Joachims},
  title     = {Bandits with Costly Reward Observations},
  booktitle = {NeurIPS Workshop on Machine Learning Safety},
  year      = {2022}
}

@InProceedings{Wang/etal/21a,
  author = 	 {Lequn Wang and Yiwei Bai and Wen Sun and T. Joachims},
  title = 	 {Fairness of Exposure in Stochastic Bandits},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 	 2021}

@InProceedings{Yadav/etal/21a,
  author = 	 {H. Yadav and Zhengxiao Du and T. Joachims},
  title = 	 {Policy-Gradient Training of Fair and Unbiased Ranking Functions},
  booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year = 	 2021}

@InProceedings{Wang/Joachims/21a,
  author = 	 {Lequn Wang, T. Joachims},
  title = 	 {User Fairness, Item Fairness and Diversity for Rankings in Two-Sided Markets},
  booktitle = {ACM International Conference on the Theory of Information Retrieval (ICTIR)},
  year = 	 2021}

@Article{Joachims/etal/21a,
  author = 	 {T. Joachims and B. London and Yi Su and A. Swaminathan and Lequn Wang},
  title = 	 {Recommendations as Treatments},
  journal = 	 {AAAI AI Magazine},
  year = 	 2021,
  volume = 	 42,
  number = 	 3,
  pages = 	 {19-30}}

@InProceedings{Singh/etal/21a,
  author = 	 {A. Singh and D. Kempe and T. Joachims},
  title = 	 {Fairness in Ranking under Uncertainty},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year = 	 2021}

@InProceedings{Morik/etal/20a,
  author = 	 {M. Morik and A. Singh and Jessica Hong and T. Joachims},
  title = 	 {Controlling Fairness and Bias in Dynamic Learning-to-Rank},
  booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year = 	 2020}

@InProceedings{Schnabel/etal/20a,
  author = 	 {T. Schnabel and S. Amershi and P. Bennett and P. Bailey and T. Joachims},
  title = 	 {The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation},
  booktitle = {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year = 	 2020}

@InProceedings{Sachdeva/etal/20a,
  author = 	 {N. Sachdeva and Yi Su and T. Joachims},
  title = 	 {Off-policy Bandits with Deficient Support},
  booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)},
  year = 	 2020}

@InProceedings{Su/Joachims/20a,
  author = 	 {Yi Su and T. Joachims},
  title = 	 {Rankings for Two-Sided Market Platforms},
  booktitle = {NeurIPS Workshop on Consequential Decisions in Dynamic Environments},
  year = 	 2020}

@InProceedings{Kidambi/etal/20a,
  author = 	 {R. Kidambi and A. Rajeswaran and P. Netrapalli and T. Joachims},
  title = 	 {MOReL: Model-Based Offline Reinforcement Learning},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
  year = 	 2020}

@InProceedings{Singh/Joachims/19a,
  author = 	 {A. Singh and T. Joachims},
  title = 	 {Policy Learning for Fairness in Rankings},
  booktitle =    {Neural Information Processing Systems (NeurIPS)},
  year = 	 2019}

@InProceedings{Wang/etal/19a,
  author = 	 {Lequn Wang and Yiwei Bai and A. Bhalla and T. Joachims},
  title = 	 {Batch Learning from Bandit Feedback through Bias Corrected Reward Imputation},
  booktitle =    {ICML Workshop on Real-World Sequential Decision Making},
  year = 	 2019}

@InProceedings{Su/etal/19a,
  author = 	 {Yi Su and Lequn Wang and M. Santacatterina and T. Joachims},
  title = 	 {CAB: Continuous Adaptive Blending for Policy Evaluation and Learning},
  booktitle =    {International Conference on Machine Learning (ICML)},
  year = 	 2019}

@InProceedings{Agarwal/etal/19b,
  author = 	 {A. Agarwal and K. Takatsu and I. Zaitsev and T. Joachims},
  title = 	 {A General Framework for Counterfactual Learning-to-Rank},
  booktitle =    {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year = 	 2019}

@InProceedings{Fang/etal/19a,
  author = 	 {Zhichong Fang and A. Agarwal and T. Joachims},
  title = 	 {Intervention Harvesting for Context-Dependent Examination-Bias Estimation},
  booktitle =    {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  year = 	 2019}

@InProceedings{Schnabel/etal/19a,
  author = 	 {T. Schnabel and P. Bennett and T. Joachims},
  title = 	 {Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory},
  booktitle =    {International Conference on Web Search and Data Mining (WSDM)},
  year = 	 2019}

@InProceedings{Agarwal/etal/19a,
  author = 	 {A. Agarwal and I. Zaitsev and Xuanhui Wang and Cheng Li and M. Najork and T. Joachims},
  title = 	 {Estimating Position Bias Without Intrusive Interventions},
  booktitle =    {International Conference on Web Search and Data Mining (WSDM)},
  year = 	 2019}

@InProceedings{Agarwal/etal/18b,
  author = 	 {A. Agarwal and I. Zaitsev and T. Joachims},
  title = 	 {Counterfactual Learning-to-Rank for Additive Metrics and Deep Models},
  booktitle =    {ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)},
  year = 	 2018}

@InProceedings{Agarwal/etal/18c,
  author = 	 {A. Agarwal and I. Zaitsev and T. Joachims},
  title = 	 {Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank},
  booktitle =    {ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)},
  year = 	 2018}

@InProceedings{Su/etal/18a,
  author = 	 {Yi Su and A. Agarwal and T. Joachims},
  title = 	 {Learning from Logged Bandit Feedback of Multiple Loggers},
  booktitle =    {ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)},
  year = 	 2018}

@InProceedings{Singh/Joachims/18a,
  author = 	 {A. Singh and T. Joachims},
  title = 	 {Fairness of Exposure in Rankings},
  booktitle =    {ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)},
  year = 	 2018}

@InProceedings{Schnabel/etal/18a,
  author = 	 {T. Schnabel and P. Bennett and S. Dumais and T. Joachims},
  title = 	 {Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration},
  booktitle =    {International Conference on Web Search and Data Mining (WSDM)},
  year = 	 2018}

@InProceedings{Joachims/etal/18a,
  author = 	 {T. Joachims and A. Swaminathan and M. de Rijke},
  title = 	 {Deep Learning with Logged Bandit Feedback},
  booktitle =    {International Conference on Learning Representations (ICLR)},
  year = 	 2018}

@InProceedings{Agarwal/etal/17a,
  author    =    {A. Agarwal and S. Basu and T. Schnabel and T. Joachims},
  title     =    {Effective Evaluation using Logged Bandit Feedback from Multiple Loggers},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  year      =    {2017}
}

@InProceedings{Lefortier/etal/16a,
  author =	"D. Lefortier and A. Swaminathan and Xiaotao Gu
		 and T. Joachims and M. de Rijke",
  title =	"Large-scale Validation of Counterfactual Learning
		 Methods: {A} Test-Bed",
  booktitle =	"NeurIPS 2016 What-If Workshop",
  year = 	"2016",
  URL =  	"http://arxiv.org/abs/1612.00367"
}

@InProceedings{Analytis/etal/17a,
  title =	"Ranking with Social Cues: Integrating Online Review
		 Scores and Popularity Information",
  author =	"P. Analytis and A. Delfino and J.
		 K{\"a}mmer and M. Moussa{\"i}d and T.
		 Joachims",
  publisher =	"AAAI Press",
  year = 	"2017",
  booktitle =	"International Conference on Web and Social Media (ICWSM)",
  pages =	"468--471"
}

@InProceedings{Joachims/etal/17a,
  author = 	 {T. Joachims and A. Swaminathan and T. Schnabel},
  title = 	 {Unbiased Learning-to-Rank with Biased Feedback},
  booktitle =    {ACM Conference on Web Search and Data Mining (WSDM)},
  pages =	 {781--789},
  year = 	 2017}

@InProceedings{Singh/Joachims/17a,
  author =       {A. Singh and T. Joachims},
  title =        {Learning Item Embeddings using Biased Feedback},
  booktitle =    {NeurIPS Workshop on Causal Inference and Machine Learning for Intelligent Decision Making},
  year =         2017
}
 
@InProceedings {Joachims/Swaminathan/16a,
  author = 	 {T. Joachims and A. Swaminathan},
  title = 	 {Tutorial on Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement},
  booktitle =    {ACM Conference on Research and Development in Information Retrieval (SIGIR)},
  pages = 	 {1199--1201},
  year = 	 2016,
  annote = 	 {http://www.cs.cornell.edu/~adith/CfactSIGIR2016/}
}

@InProceedings{Schnabel/etal/16a,
  author = 	 {T. Schnabel and P. Bennett and S. Dumais and T. Joachims},
  title = 	 {Using Shortlists to Support Decision Making and Improve Recommender System Performance},
  booktitle =    {World Wide Web Conference (WWW)},
  year = 	 2016,
  pages = 	 {987--997}}

@InProceedings{Schnabel/etal/16b,
  author = 	 {T. Schnabel and A. Swaminathan and A. Singh and N. Chandak and T. Joachims},
  title = 	 {Recommendations as Treatments: Debiasing Learning and Evaluation},
  booktitle =    {International Conference on Machine Learning (ICML)},
  year = 	 2016}

@InProceedings{Schnabel/etal/16c,
  author = {T. Schnabel and A. Swaminathan and P. Frazier and T. Joachims},
  title = 	 {Unbiased Comparative Evaluation of Ranking Functions},
  booktitle =    {ACM International Conference on the Theory of Information Retrieval (ICTIR)},
  pages =        {109--118},
  year = 	 2016}

@InCollection{Joachims/Raman/16a,
  author = 	 {T. Joachims and K. Raman},
  title = 	 {Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD},
  booktitle = 	 {Festschrift for Katharina Morik},
  publisher = {Springer},
  year = 	 2016}

@InProceedings{Chen/Joachims/16a,
  author = 	 {Shuo Chen and T. Joachims},
  title = 	 {Modeling Intransitivity in Matchup and Comparison Data},
  booktitle =    {ACM Conference on Web Search and Data Mining (WSDM)},
  year = 	 2016,
  pages = 	 {227--236}}

@InProceedings{Chen/Joachims/16b,
  author = 	 {Shuo Chen and T. Joachims},
  title = 	 {Predicting Matchups and Preferences in Context},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages =        {775--784},
  year = 	 2016}

@InProceedings{Reddy/etal/16a,
  author = 	 {S. Reddy and I. Labutov and T. Joachims},
  title = 	 {Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation},
  booktitle =    {ACM Conference on Learning at Scale},
  year = 	 2016}

@InProceedings{Reddy/etal/16c,
  author = 	 {S. Reddy and I. Labutov and S. Banerjee and T. Joachims},
  title = 	 {Unbounded Human Learning: Optimal Scheduling for Spaced Repetition},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages =        {1815--1824},
  year = 	 2016}

@InProceedings{Joachims/15a,
  author = 	 {T. Joachims},
  title = 	 {Learning from User Interactions, Keynote Talk},
  booktitle =    {International Conference on Web Search and Data Mining (WSDM)},
  year = 	 2015}

@InProceedings{Joachims/15b,
  author = 	 {T. Joachims},
  title = 	 {Learning from Rational Behavior, Keynote Talk},
  booktitle =    {Microsoft Computing in the 21st Century Conference (21CCC)},
  year = 	 2015}

@InProceedings{Joachims/15c,
  author = 	 {T. Joachims},
  title = 	 {Online and Batch Learning with Interventions, Keynote Talk},
  booktitle =    {Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
  year = 	 2015}

@InProceedings{Swaminathan/Joachims/15a,
  author = 	 {A. Swaminathan and T. Joachims},
  title = 	 {Counterfactual Risk Minimization: Learning from Logged Bandit Feedback},
  booktitle =    {WWW Workshop on Offline and Online Evaluation of Web-based Services},
  year = 	 2015}

@InProceedings{Swaminathan/Joachims/15b,
  author = 	 {A. Swaminathan and T. Joachims},
  title = 	 {Counterfactual Risk Minimization: Learning from Logged Bandit Feedback},
  booktitle =    {International Conference on Machine Learning (ICML)},
  pages =        {814--823},
  year = 	 2015}

@Article{Swaminathan/Joachims/15c,
  author = 	 {A. Swaminathan and T. Joachims},
  title = 	 {Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization},
  journal = 	 {Journal of Machine Learning Research (JMLR)},
  year = 	 2015,
  volume = 	 16,
  pages = 	 {1731--1755},
  month = 	 {Sep},
  note = 	 {Special Issue in Memory of Alexey Chervonenkis}}

@article{Shivaswamy/Joachims/15a,
  author    = {P. Shivaswamy and T. Joachims},
  title     = {Coactive Learning},
  journal   = {Journal of Artificial Intelligence Research (JAIR)},
  volume    = {53},
  pages     = {1--40},
  year      = {2015}
}

@InProceedings{Swaminathan/Joachims/15d,
  author = 	 {A. Swaminathan and T. Joachims},
  title = 	 {The Self-Normalized Estimator for Counterfactual Learning},
  booktitle =    {Neural Information Processing Systems (NeurIPS)},
  year = 	 2015}

@InProceedings{Schnabel/etal/15a,
  author = 	 {T. Schnabel and A. Swaminathan and T. Joachims},
  title = 	 {Unbiased Ranking Evaluation on a Budget},
  booktitle =    {WWW Workshop on Offline and Online Evaluation of Web-based Services},
  year = 	 2015}

@InProceedings{Schnabel/etal/15b,
  author = 	 {T. Schnabel and I. Labutov and D. Mimno and T. Joachims},
  title = 	 {Evaluation Methods for Unsupervised Word Embeddings},
  booktitle =    {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages =        {298--307},
  year = 	 2015}

@InProceedings{Raman/Joachims/15a,
  author = 	 {K. Raman and T. Joachims},
  title = 	 {Bayesian Ordinal Peer Grading},
  booktitle =    {ACM Conference on Learning at Scale},
  pages =        {149--156},
  year = 	 2015}

@Proceedings{Joachims/etal/15a,
  title = 	 {Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  year = 	 2015,
  editor = 	 {T. Joachims and G. Webb and D. Margineantu and G. Williams},
  address = 	 {Sydney, Australia}}


@InProceedings{Joachims/14a,
  author = 	 {T. Joachims},
  title = 	 {Learning from Rational Behavior, Keynote Talk},
  booktitle =    {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = 	 2014}

@inproceedings{Sipos/etal/14a,
   author =      {Sipos, Ruben and Ghosh, Arpita and Joachims, Thorsten},
   title =       {Was This Review Helpful to You?: It Depends! Context and Voting Patterns in Online Content},
   booktitle =   {International Conference on World Wide Web (WWW)},
   pages =       {337--348},
   year =        2014
} 

@InProceedings{Raman/Joachims/14a,
  author = 	 {K. Raman and T. Joachims},
  title = 	 {Methods for Ordinal Peer Grading},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages =        {1037--1046},
  year = 	 2014
}

@InProceedings{Raman/Joachims/14b,
  author = 	 {K. Raman and T. Joachims},
  title = 	 {Bayesian Ordinal Peer Grading},
  booktitle =    {NeurIPS Workshop on Human Propelled Machine Learning},
  year = 	 2014}

@InProceedings{Moore/etal/14a,
  author = 	 {J. L. Moore and T. Joachims and D. Turnbull},
  title = 	 {Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography},
  booktitle =    {Conference of the International Society for Music Information Retrieval Conference (ISMIR)},
  pages =        {439--444},
  year = 	 2014}

@inproceedings{Turnbull/etal/14a,
   author =      {Turnbull, D. and Zupnick, J. and Stensland, K. and Horwitz, A. and Wolf, A. and Spirgel, A. and Meyerhofer, S. and Joachims, T.},
   title =       {Using Personalized Radio to Enhance Local Music Discovery},
   booktitle =   {Extended Abstracts on Human Factors in Computing Systems (CHI)},
   pages =       {2023--2028},
   year =        2014
} 

@InProceedings{Labutov/etal/14a,
  author = 	 {I. Labutov and K. Luu and T. Joachims and H. Lipson},
  title = 	 {Peer Mediated Testing},
  booktitle =    {KDD Workshop on Data Mining for Educational Assessment and Feedback (ASSESS 2014)},
  year = 	 2014}

@InProceedings{Ailon/etal/14a,
  author    =    {N. Ailon and T. Joachims and Z. Karnin},
  title     =    {Reducing Dueling Bandits to Cardinal Bandits},
  booktitle =    {International Conference on Machine Learning (ICML)},
  pages =        {856--864},
  year = 	 2014
}

@InProceedings{Joachims/13a,
  author = 	 {T. Joachims},
  title = 	 {Learning with Humans in the Loop, Keynote Talk},
  booktitle =    {European Conference on Machine Learning (ECML)},
  year = 	 2013}

@article{Anand/etal/13a,
  author    =    {Abhishek Anand and Hema Swetha Koppula and Thorsten Joachims and Ashutosh Saxena},
  title     =    {Contextually guided semantic labeling and search for three-dimensional point clouds},
  journal   =    {International Journal of Robotics Research},
  volume    =    32,
  number    =    1,
  pages     =    {19-34},
  year      =    2013
}

@inproceedings{Sipos/Joachims/13a,
  author =       {R. Sipos and T. Joachims},
  title =        {Generating comparative summaries from reviews},
  booktitle =    {International Conference on Information and Knowledge Management (CIKM)},
  pages =        {1853--1856},
  year =         2013
} 

@InProceedings{Raman/Joachims/13a,
  author = 	 {K. Raman and T. Joachims},
  title = 	 {Learning Socially Optimal Information Systems from Egoistic Users},
  booktitle =	 {European Conference on Machine Learning (ECML)},
  pages =        {128-144},
  year =	 2013
}

@InProceedings{Fix/etal/13a,
  author = 	 {A. Fix and T. Joachims and Sung Min Park and R. Zabih},
  title = 	 {Structured Learning of Sum-of-Submodular Higher Order Energy Functions},
  booktitle =	 {International Conference on Computer Vision (ICCV)},
  pages =	 {3104-3111},
  year =	 2013
}

@InProceedings{Moore/etal/13a,
  author = 	 {J. Moore and Shuo Chen and D. Turnbull and T. Joachims},
  title = 	 {Taste Over Time: The Temporal Dynamics of User Preferences},
  booktitle =	 {Conference of the International Society for Music Information Retrieval Conference (ISMIR)},
  pages =	 {401-406},
  year =	 2013
}

@InProceedings{Raman/etal/13a,
  author = 	 {K. Raman and T. Joachims and P. Shivaswamy and T. Schnabel},
  title = 	 {Stable Coactive Learning via Perturbation},
  booktitle =    {International Conference on Machine Learning (ICML)},
  pages =        {837-845},
  year = 	 2013
}

@InProceedings{Raman/etal/13b,
  author = 	 {K. Raman and A. Swaminathan and J. Gehrke and T. Joachims},
  title = 	 {Beyond Myopic Inference in Big Data Pipelines},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages =        {86--94},
  year = 	 2013
}

@InProceedings{Chen/etal/13a,
  author = 	 {Shuo Chen and Jiexun Xu and T. Joachims},
  title = 	 {Multi-space Probabilistic Sequence Modeling},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages =        {865--873},
  year = 	 2013
}

@InProceedings{Jain/etal/13a,
  author = 	 {A. Jain and B. Wojcik and T. Joachims and A. Saxena},
  title = 	 {Learning Trajectory Preferences for Manipulators via Iterative Improvement},
  booktitle =	 {Neural Information Processing Systems (NeurIPS)},
  pages =	 {575-583},
  year =	 2013
}

@InProceedings{Chen/etal/12a,
  author = 	 {Shuo Chen and J. Moore and D. Turnbull and T. Joachims},
  title = 	 {Playlist Prediction via Metric Embedding},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages = 	 {714--722},
  year = 	 2012
}

@InProceedings{Raman/etal/12b,
  author = 	 {K. Raman and P. Shivaswamy and T. Joachims},
  title = 	 {Online Learning to Diversify from Implicit Feedback},
  booktitle =    {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages = 	 {705--713},
  year = 	 2012
}

@InProceedings{Moore/etal/12a,
  author = 	 {J. Moore and Shuo Chen and T. Joachims and D. Turnbull},
  title = 	 {Learning to Embed Songs and Tags for Playlist Prediction},
  booktitle =    {Conference of the International Society for Music Information Retrieval (ISMIR)},
  pages = 	 {349--354},
  year = 	 2012
}

@InProceedings{Shivaswamy/Joachims/12a,
  author = 	 {P. Shivaswamy and T. Joachims},
  title = 	 {Online Structured Prediction via Coactive Learning},
  booktitle =    {International Conference on Machine Learning (ICML)},
  pages=         {1431--1438},
  year = 	 2012
}

@InProceedings{Shivaswamy/Joachims/12b,
  author = 	 {P. Shivaswamy and T. Joachims},
  title = 	 {Multi-armed Bandit Problems with History},
  booktitle =    {Conference on Artificial Intelligence and Statistics (AISTATS)},
  year = 	 2012
}

@Article{Bennett/etal/11a,
  author = 	 {P. Bennett and K. El-Arini and T. Joachims and K. Svore},
  title = 	 {Enriching Information Retrieval},
  journal = 	 {SIGIR Forum},
  year = 	 2011,
  volume = 	 45,
  number = 	 2,
  pages = 	 {60--65}
}

@Article{Chapelle/etal/12a,
  author = 	 {O. Chapelle and T. Joachims and F. Radlinski and Yisong Yue},
  title = 	 {Large-Scale Validation and Analysis of Interleaved Search Evaluation},
  journal = 	 {ACM Transactions on Information Systems (TOIS)},
  year = 	 2012,
  volume =	 30,
  number =	 1,
  pages =	 {6:1--6:41}
}

@Article{Yue/etal/12a,
  author = 	 {Yisong Yue and J. Broder and R. Kleinberg and T. Joachims},
  title = 	 {The K-armed Dueling Bandits Problem},
  journal = 	 {Journal of Computer and System Sciences},
  year = 	 2012,
  pages = 	 {in press}}

@InProceedings{Sipos/etal/12a,
  author = 	 {R. Sipos and P. Shivaswamy and T. Joachims},
  title = 	 {Large-Margin Learning of Submodular Summarization Models},
  booktitle =    {Conference of the European Chapter of the Association for Computational Linguistics (EACL)},
  year = 	 2012}

@InProceedings{Raman/etal/12a,
  author = 	 {K. Raman and P. Shivaswamy and T. Joachims},
  title = 	 {Learning to Diversify from Implicit Feedback},
  booktitle =    {WSDM Workshop on Diversity in Document Retrieval},
  year = 	 2012}

@InProceedings{Shivaswamy/Joachims/11b,
  author = 	 {P. Shivaswamy and T. Joachims},
  title = 	 {Online Learning with Preference Feedback},
  booktitle =    {NeurIPS Workshop on Choice Models and Preference Learning},
  year = 	 2011}

@InProceedings{Koppula/etal/11,
  author = 	 {H. Koppula and A. Anand and T. Joachims and A. Saxena},
  title = 	 {Semantic Labeling of {3D} Point Clouds for Indoor Scenes},
  booktitle =	 {Conference on Neural Information Processing Systems (NeurIPS)},
  year =	 2011
}

@InProceedings{Raman/etal/11a,
  author = 	 {K. Raman and T. Joachims and P. Shivaswamy},
  title = 	 {Structured Learning of Two-Level Dynamic Rankings},
  booktitle =	 {Conference on Information and Knowledge Management (CIKM)},
  year =	 2011
}

@InProceedings{Brandt/etal/11a,
  author = 	 {C. Brandt and T. Joachims and Yisong Yue and J. Bank},
  title = 	 {Dynamic Ranked Retrieval},
  booktitle =	 {ACM International Conference on Web Search and Data Mining (WSDM)},
  pages =        {247--256}, 
  year =	 2011
}

@InProceedings{Yue/Joachims/11a,
  author = 	 {Yisong Yue and T. Joachims},
  title = 	 {Beat the Mean Bandit},
  booktitle =    {International Conference on Machine Learning (ICML)},
  pages = 	 {241--248},
  year = 	 2011
}

@Proceedings{conf/icml/2010,
  title =	"Proceedings of the 27th International Conference on
		 Machine Learning ({ICML}), June 21-24, 2010, Haifa,
		 Israel",
  publisher =	"Omnipress",
  year = 	"2010",
  booktitle =	"ICML",
  editor =	"J. F{\"u}rnkranz and T. Joachims",
}


@InProceedings{Xu/etal/10a,
  author = 	 {Z. Xu and K. Kersting and T. Joachims},
  title = 	 {Fast Active Exploration for Link-Based Preference Learning using Gaussian Processes},
  booktitle =	 ecml,
  pages =	 {499--514},
  year =	 2010
}

@InCollection{Radlinski/etal/10a,
  author = 	 {F. Radlinski and M. Kurup and T. Joachims},
  title = 	 {Evaluating Search Engine Relevance with Click-Based Metrics},
  booktitle = 	 {Preference Learning},
  pages =	 {337-362},
  publisher =	 {Springer},
  year =	 2011,
  editor =	 {J. Fuernkranz and E. Huellermeier}
}

@inproceedings{Yue/etal/10a,
 author =        {Yisong Yue and Yue Gao and O. Chapelle and Ya Zhang 
                  and T. Joachims},
 title =         {Learning more Powerful Test Statistics for Click-Based 
                  Retrieval Evaluation},
 booktitle =     {ACM SIGIR Conference on Research and Development in
                  Information Retrieval (SIGIR)},
 year =          {2010},
 pages =         {507--514}
}

@Article{Joachims/etal/09b,
  author = 	 {T. Joachims and T. Hofmann and Yisong Yue and Chun-Nam Yu},
  title = 	 {Predicting Structured Objects with Support Vector Machines},
  journal = 	 {Communications of the ACM, Research Highlight},
  year = 	 2009,
  volume =	 52,
  number =	 11,
  pages =	 {97-104},
  month =	 {November}
}

@Article{Joachims/etal/09a,
  author = 	 {T. Joachims and T. Finley and Chun-Nam Yu},
  title = 	 {Cutting-Plane Training of Structural SVMs},
  journal = 	 {Machine Learning},
  volume =	 77,
  number =	 1,
  pages =        {27-59},
  year = 	 {2009}
}

@InProceedings{Yu/Joachims/09a,
  author = 	 {Chun-Nam Yu and T. Joachims},
  title = 	 {Learning Structural SVMs with Latent Variables},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  year =	 2009
}

@InProceedings{Yue/Joachims/09a,
  author = 	 {Yisong Yue and T. Joachims},
  title = 	 {Interactively Optimizing Information Retrieval Systems as a Dueling Bandits Problem},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =        {151--159},
  year =	 2009
}

@InProceedings{Yue/etal/09a,
  author = 	 {Yisong Yue and J. Broder and R. Kleinberg and T. Joachims},
  title = 	 {The K-armed Dueling Bandits Problem},
  booktitle =	 {Conference on Learning Theory (COLT)},
  pages =        {53--62},
  year =	 2009
}

@InProceedings{Shaparenko/Joachims/09a,
  author =	 {B. Shaparenko and T. Joachims},
  title =	 {Identifying the Original Contribution of a Document via Language Modeling},
  booktitle =	 {ACM SIGIR Conference on Research and Development in
                  Information Retrieval (SIGIR)},
  note =         {poster abstract},
  pages =        {696--697},
  year =	 2009
}

@InProceedings{Shaparenko/Joachims/09b,
  author =	 {B. Shaparenko and T. Joachims},
  title =	 {Identifying the Original Contribution of a Document via Language Modeling},
  booktitle =	 {European Conference on Machine Learning (ECML)},
  pages =        {350--365},
  year =	 2009
}

@Article{Joachims/Yu/09a,
  author = 	 {T. Joachims and Chun-Nam Yu},
  title = 	 {Sparse Kernel SVMs via Cutting-Plane Training},
  journal = 	 {Machine Learning},
  year = 	 2009,
  volume =	 76,
  number =	 {2-3},
  pages =        {179-193},
  note =	 {European Conference on Machine Learning (ECML) Special Issue}
}

@InProceedings{Radlinski/etal/08b,
  author = 	 {F. Radlinski and M. Kurup and T. Joachims},
  title = 	 {How Does Clickthrough Data Reflect Retrieval Quality?},
  booktitle =	 {Conference on Information and Knowledge Management (CIKM)},
  year =	 2008
}

@InProceedings{Yu/Joachims/08b,
  author = 	 {Chun-Nam Yu and T. Joachims},
  title = 	 {Training Structural SVMs with Kernels Using Sampled Cuts},
  booktitle =	 {ACM SIGKDD Conference on Knowledge Discovery and
                  Data Mining (KDD)},
  pages =	 {794-802},
  year =	 2008
}

@Article{Yu/etal/08a,
  author = 	 {Chun-Nam Yu and T. Joachims and R. Elber and J. Pillardy},
  title = 	 {Support Vector Training of Protein Alignment Models},
  journal = 	 {Journal of Computational Biology},
  year = 	 2008,
  volume =	 15,
  number =	 7,
  pages =	 {867-880},
  month =	 {September}
}

@InProceedings{Radlinski/etal/08a,
  author = 	 {F. Radlinski and R. Kleinberg and T. Joachims},
  title = 	 {Learning Diverse Rankings with Multi-Armed Bandits},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  year =	 2008,
  pages =        {784--791},
  note = 	 {First presented at NeurIPS07 Workshop on Machine Learning for Web Search}
}

@InProceedings{Finley/Joachims/08a,
  author = 	 {T. Finley and T. Joachims},
  title = 	 {Training Structural {SVMs} when Exact Inference is Intractable},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =        {304--311},
  year =	 2008
}

@InProceedings{Yue/Joachims/08a,
  author = 	 {Yisong Yue and T. Joachims},
  title = 	 {Predicting Diverse Subsets Using Structural {SVMs}},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =        {271--278},
  year =	 2008
}

@inproceedings{Armstrong/etal/95a,
  author =	 {R. Armstrong and D. Freitag and T. Joachims and T. Mitchell},
  address =	 {Stanford},
  booktitle =	 {AAAI Spring Symposium on Information Gathering from
                  Heterogeneous, Distributed Environments},
  title =	 {{WebWatcher}: A Learning Apprentice for the {W}orld
                  {W}ide {W}eb},
  year =	 1995,
  pages =	 {6--12}
}

@InProceedings{Finley/Joachims/07a,
  author = 	 {T. Finley and T. Joachims},
  title = 	 {Parameter Learning for Loopy Markov Random Fields with Structural Support Vector Machines},
  booktitle =	 {ICML Workshop on Constrained Optimization and Structured Output Spaces},
  year =	 2007
}

@InCollection{Armstrong/etal/98a,
  author =	 {R. Armstrong and D. Freitag and T. Joachims and T. Mitchell},
  booktitle =	 {Machine Learning and Data Mining},
  title =	 {{WebWatcher}: A Learning Apprentice for the {W}orld
                  {W}ide {W}eb},
  publisher =	 {Wiley},
  year =	 {1998},
  editor =	 {R. Michalski and I. Bratko and M. Kubat},
  pages =	 {297-312},
  annote =	 {reprinted from: Proceedings of the 1995 AAAI Spring
                  Symposium on Information Gathering from
                  Heterogeneous, Distributed Environments}
}

@InProceedings{Aya/etal/05,
  author = 	 {S. Aya and C. Lagoze and T. Joachims},
  title = 	 {Citation Classification and its Applications},
  booktitle =	 {International Conference on Knowledge Management (ICKM)},
  year =	 2005
}

@TechReport{Banken/etal/00,
  author =	 {M. Banken and C. Fischbach and O. Geppert and
                  M. Hoevener and J. Jaegerskuepper and T. Joachims
                  and V. Kaschlun and R. Klinkenberg and N. Malzahn
                  and A. Masloch and M. Podvoiskaia and N. Schoeter},
  title =	 {Projektgruppe {BotIshelly} - Intelligente Internet
                  Softbots},
  institution =	 {Universit{\"a}t Dortmund},
  year =	 2000,
  address =	 {http://www-ai.cs.uni-dortmund.de/LEHRE/PG/PG343}
}

@InProceedings{Boyan/etal/96a,
  author =	 {J. Boyan and D. Freitag and T. Joachims},
  title =	 {A Machine Learning Architecture for Optimizing Web
                  Search Engines},
  booktitle =	 {AAAI Workshop on Internet Based Information Systems},
  year =	 1996,
  month =	 {August},
  pages =	 {1 -- 8}
}

@Proceedings{Caruana/Joachims/02,
  title =	 {Beyond Classification and Regression: Learning
                  Ranking, Preferences, Equality Predicates, and Other
                  Structures},
  year =	 2002,
  booktitle =	 {Workshop at the Conference on Neural Information
                  Processing Systems (NeurIPS)},
  editor =	 {R. Caruana and T. Joachims},
  address =	 {http://www.joachims.org}
}

@Article{Caruana/etal/04,
  author = 	 {R. Caruana and T. Joachims and L. Backstrom.},
  title = 	 {KDDCup 2004: Results and Analysis},
  journal = 	 {ACM SIGKDD Newsletter},
  year = 	 2004,
  volume =	 6,
  number =	 2,
  pages =	 {95-108}
}

@InProceedings{Domshlak/Joachims/05a,
  author =	 {C. Domshlak and T. Joachims},
  title =	 {Unstructuring User Preferences: Efficient
                  Non-Parametric Utility Revelation},
  booktitle =	 {Conference on Uncertainty in Artificial Intelligence
                  (UAI)},
  pages =	 "169-177",
  year =	 2005
}

@Article{Domshlak/Joachims/07a,
  author =	 {C. Domshlak and T. Joachims},
  title =	 {Efficient and Non-parametric Reasoning over User
                  Preferences},
  journal =	 {User Modeling and User-Adapted Interaction (UMUAI)},
  year =	 2007,
  publisher =	 {Springer},
  volume =	 17,
  number =	 {1-2},
  pages =	 {41-69},
  month =	 {April}
}

@InProceedings{Finley/Joachims/05a,
  author =	 {T. Finley and T. Joachims},
  title =	 {Supervised Clustering with Support Vector Machines},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 {217-224},
  year =	 2005
}

@InProceedings{Ginsparg/etal/04a,
  author =	 {P. Ginsparg and P. Houle and T. Joachims and
                  J.-H. Sul},
  title =	 {Mapping Subsets of Scholarly Information},
  booktitle =	 {Proceedings of the National Academy of Sciences of
                  the USA (PNAS)},
  pages =	 {5236-5240},
  year =	 2004,
  volume =	 101
}

@InProceedings{Granka/etal/04,
  author =	 {L. Granka and T. Joachims and G. Gay},
  title =	 {Eye-Tracking Analysis of User Behavior in WWW
                  Search},
  booktitle =	 {ACM SIGIR Conference on Research and Development in
                  Information Retrieval (SIGIR)},
  pages =	 {478-479},
  year =	 2004
}

@InProceedings{Joachims/00a,
  author =	 {T. Joachims},
  title =	 {Estimating the Generalization Performance of a {SVM}
                  Efficiently},
  booktitle =	 {International Conference on Machine Learning},
  publisher =	 {Morgan Kaufman},
  address =	 {San Francisco},
  pages =	 {431--438},
  year =	 2000
}

@TechReport{Joachims/00b,
  author =	 {T. Joachims},
  title =	 {Efficient Model Selection for Text Classification
                  with {SVM}},
  institution =	 {Universit\"{a}t Dortmund, LS VIII},
  type =	 {{LS8}-Report},
  number =	 26,
  year =	 2000
}

@PhdThesis{Joachims/00c,
  author =	 {T. Joachims},
  title =	 {The Maximum Margin Approach to Learning Text
                  Classifiers: Methods, Theory, and Algorithms},
  school =	 {Universit\"{a}t Dortmund, Informatik, LS VIII},
  year =	 2000,
}

@InProceedings{Joachims/01a,
  author =	 {T. Joachims},
  title =	 {A Statistical Learning Model of Text Classification
                  with Support Vector Machines},
  booktitle =	 {ACM SIGIR Conference on Research and Development in
                  Information Retrieval (SIGIR)},
  year =	 2001,
  pages =	 {128--136}
}

@Book{Joachims/02a,
  author =	 {T. Joachims},
  title =	 {Learning to Classify Text Using Support Vector
                  Machines -- Methods, Theory, and Algorithms},
  publisher =	 {Kluwer/Springer},
  year =	 2002
}

@InProceedings{Joachims/02b,
  author =	 {T. Joachims},
  title =	 {Unbiased Evaluation of Retrieval Quality Using
                  Clickthrough Data},
  booktitle =	 {SIGIR Workshop on Mathematical/Formal Methods in
                  Information Retrieval},
  year =	 2002
}

@InProceedings{Joachims/02c,
  author =	 {T. Joachims},
  title =	 {Optimizing Search Engines Using Clickthrough Data},
  booktitle =	 {ACM SIGKDD Conference on Knowledge Discovery and
                  Data Mining (KDD)},
  pages =	 "133--142",
  year =	 2002
}

@InProceedings{Joachims/03a,
  author =	 {T. Joachims},
  title =	 {Transductive Learning via Spectral Graph
                  Partitioning},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 "290--297",
  year =	 2003
}

@Unpublished{Joachims/03b,
  author = 	 {T. Joachims},
  title = 	 {Learning to Align Sequences: A Maximum-Margin Approach},
  note = 	 {online manuscript},
  month =	 {August},
  year =	 2003
}

@InCollection{Joachims/03c,
  author = 	 {T. Joachims},
  title = 	 {Evaluating Retrieval Performance using Clickthrough Data},
  booktitle = 	 {Text Mining},
  pages =	 {79-96},
  publisher =	 {Physica/Springer Verlag},
  year =	 2003,
  editor =	 {J. Franke and G. Nakhaeizadeh and I. Renz}
}

@InProceedings{Joachims/05a,
  author =	 {T. Joachims},
  title =	 {A Support Vector Method for Multivariate Performance
                  Measures},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 "377--384",
  year =	 2005
}

@InProceedings{Joachims/06a,
  author =	 {T. Joachims},
  title =	 {Training Linear {SVMs} in Linear Time},
  booktitle =	 {ACM SIGKDD International Conference On Knowledge
                  Discovery and Data Mining (KDD)},
  pages =	 {217--226},
  year =	 2006
}

@InProceedings{Joachims/06b,
  author =	 {T. Joachims},
  title =	 {Structured Output Prediction with Support Vector
                  Machines},
  booktitle =	 {Joint IAPR International Workshops on Structural and
                  Syntactic Pattern Recognition (SSPR) and Statistical
                  Techniques in Pattern Recognition (SPR)},
  pages =	 "1--7",
  year =	 2006
}

@mastersthesis{Joachims/96a,
  author =	 {T. Joachims},
  month =	 {December},
  school =	 {{F}achbereich {I}nformatik, {U}niversit{\"a}t {D}ortmund},
  title =	 {Einsatz eines intelligenten, lernenden {A}genten f{\"u}r das {W}orld {W}ide {W}eb},
  type =	 {Diplomarbeit},
  year =	 1996
}

@inproceedings{Joachims/97a,
  author =	 {T. Joachims},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  title =	 {A Probabilistic Analysis of the {R}occhio Algorithm
                  with {TFIDF} for Text Categorization},
  pages =	 {143--151},
  year =	 1997
}

@TechReport{Joachims/97b,
  author =	 {T. Joachims},
  title =	 {Text Categorization with Support Vector Machines:
                  Learning with Many Relevant Features},
  institution =	 {Universit{\"a}t Dortmund, LS VIII-Report},
  year =	 {1997},
  number =	 {23}
}

@InProceedings{Joachims/98a,
  author =	 {T. Joachims},
  title =	 {Text Categorization with Support Vector Machines:
                  Learning with Many Relevant Features},
  booktitle =	 {European Conference on Machine Learning (ECML)},
  neditor =	 {Claire N{\'e}dellec and C{\'e}line Rouveirol},
  publisher =	 {Springer},
  address =	 {Berlin},
  year =	 1998,
  pages =	 {137--142}
}

@TechReport{Joachims/98c,
  author =	 {T. Joachims},
  title =	 {Making large-Scale SVM Learning Practical},
  institution =	 {Universit{\"a}t Dortmund, LS VIII-Report},
  year =	 1998,
  number =	 24,
  type =	 {LS8-Report}
}

@InCollection{Joachims/99a,
  author =	 {T. Joachims},
  booktitle =	 {Advances in Kernel Methods - Support Vector
                  Learning},
  title =	 {Making large-Scale {SVM} Learning Practical},
  publisher =	 {MIT Press},
  address =	 {Cambridge, MA},
  year =	 1999,
  editor =	 {B. Sch{\"o}lkopf and C. Burges and A. Smola},
  chapter =	 11,
  pages =	 {169--184}
}

@InProceedings{Joachims/99b,
  author =	 {T. Joachims},
  title =	 {Wissenserlangung aus grossen Datenbanken},
  booktitle =	 {9th Int. Symposium on Intensive Care},
  editor =	 {W.Kuckelt and K.Hankeln},
  series =	 {Journal f. Anaesthesie und Intensivbehandlung},
  year =	 1999,
  publisher =	 {Pabst Science Publishers},
  address =	 {Lengerich, Berlin, Riga, Scottsdale (Az.), Wien,
                  Zagreb}
}

@InProceedings{Joachims/99c,
  author =	 {T. Joachims},
  title =	 {Transductive Inference for Text Classification using
                  Support Vector Machines},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  address =	 {Bled, Slowenien},
  pages =	 {200--209},
  year =	 1999
}

@Article{Joachims/99d,
  author =	 {T. Joachims},
  title =	 {Aktuelles Schlagwort: Support Vector Machines},
  journal =	 {K\"{u}nstliche Intelligenz},
  year =	 1999,
  volume =	 4
}

@TechReport{Joachims/99e,
  author =	 {T. Joachims},
  title =	 {Estimating the Generalization Performance of a {SVM}
                  Efficiently},
  institution =	 {Universit\"{a}t Dortmund, LS VIII},
  year =	 1999,
  number =	 25,
  month =	 {December}
}

@InProceedings{Joachims/Hopcroft/05a,
  author =	 {T. Joachims and J. Hopcroft},
  title =	 {Error Bounds for Correlation Clustering},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 "385--392",
  year =	 2005
}

@Article{Joachims/Radlinski/07a,
  author = 	 {T. Joachims and F. Radlinski},
  title = 	 {Search Engines that Learn from Implicit Feedback},
  journal = 	 {IEEE Computer},
  year = 	 2007,
  volume =	 40,
  number =	 8,
  pages =        {34--40},
  month =	 {August}
}

@InProceedings{Joachims/etal/01a,
  author =	 "T. Joachims and N. Cristianini and J. Shawe-Taylor",
  title =	 "Composite Kernels for Hypertext Categorisation",
  booktitle =	 "International Conference on Machine Learning (ICML)",
  editor =	 "Carla Brodley and Andrea Danyluk",
  address =	 "Williams College, {US}",
  year =	 2001,
  pages =	 "250--257"
}

@InProceedings{Joachims/etal/05a,
  author =	 {T. Joachims and L. Granka and B. Pang and
                  H. Hembrooke and G. Gay},
  title =	 {Accurately Interpreting Clickthrough Data as
                  Implicit Feedback},
  booktitle =	 {ACM SIGIR Conference on Research and Development in
                  Information Retrieval (SIGIR)},
  pages =	 {154--161},
  year =	 2005
}

@Article{Joachims/Mladenic/98a,
  author =	 {T. Joachims and D. Mladeni\`{c}},
  title =	 {Browsing-Assistenten, Tour Guides und adaptive
                  WWW-Server},
  journal =	 {K{\"u}nstliche Intelligenz},
  year =	 1998,
  pages =	 {23--29},
  number =	 28,
  volume =	 3
}

@InCollection{Joachims/etal/05b,
  author = 	 {T. Joachims and T. Galor and R. Elber},
  title = 	 {Learning to Align Sequences: A Maximum-Margin Approach},
  booktitle = 	 {New Algorithms for Macromolecular Simulation},
  pages =	 {57-68},
  publisher =	 {Springer},
  year =	 2005,
  editor =	 {B. Leimkuhler et al.},
  volume =	 49,
  series =	 {LNCS}
}

@Article{Joachims/etal/07a,
  author =	 {T. Joachims and L. Granka and Bing Pan and
                  H. Hembrooke and F. Radlinski and G. Gay},
  title =	 {Evaluating the Accuracy of Implicit Feedback from
                  Clicks and Query Reformulations in Web Search},
  journal =	 {ACM Transactions on Information Systems (TOIS)},
  year =	 2007,
  volume =	 25,
  number =	 2,
  month =	 {April}
}

@article{Joachims/etal/95a,
  author =	 {T. Joachims and T. Mitchell and D. Freitag and R. Armstrong},
  journal =	 {Beitr{\"a}ge zum 7. Fachgruppentreffen MASCHINELLES
                  LERNEN der GI-Fachgruppe 1.1.3},
  month =	 {August},
  note =	 {Forschungsbericht Nr. 580 der Universit{\"a}t
                  Dortmund},
  pages =	 {145--149},
  title =	 {{WebWatcher}: Machine Learning and Hypertext},
  year =	 1995
}

@inproceedings{Joachims/etal/97b,
  author =	 {T. Joachims and D. Freitag and T. Mitchell},
  booktitle =	 {International Joint Conference on Artificial
                  Intelligence (IJCAI)},
  title =	 {{WebWatcher:} A Tour Guide for the World Wide Web},
  year =	 1997,
  volume =	 1,
  publisher =	 {Morgan Kaufmann},
  pages =	 {770--777}
}

@Proceedings{Joachims/etal/99a,
  title =	 {Machine Learning for Information Filtering},
  year =	 1999,
  editor =	 {T. Joachims and A. McCallum and M. Sahami and
                  M. Craven},
  series =	 {IJCAI Workshop},
  publisher =	 {AAAI Press},
  month =	 {August}
}

@InProceedings{Klinkenberg/Joachims/00a,
  author =	 {R. Klinkenberg and T. Joachims},
  title =	 {Detecting Concept Drift with Support Vector
                  Machines},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 "487--494",
  publisher =	 {Morgan Kaufmann},
  address =	 {San Francisco},
  year =	 2000
}

@Article{Morik/etal/00a,
  author =	 {K. Morik and M. Imhoff and P. Brockhausen and T. Joachims and U. Gather},
  title =	 {Knowledge Discovery and Knowledge Validation in
                  Intensive Care},
  journal =	 {Artificial Intelligence in Medicine},
  publisher =	 {Elsevier},
  volume =	 19,
  number =	 3,
  pages =	 {225--249},
  year =	 2000
}

@InProceedings{Morik/etal/99a,
  author =	 {K. Morik and P. Brockhausen and T. Joachims},
  title =	 {Combining Statistical Learning with a
                  Knowledge-based Approach -- a Case Study in
                  Intensive Care Monitoring},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 "268--277",
  address =	 {Bled, Slowenien},
  year =	 1999
} 

@InProceedings{Pohl/etal/07a,
  author = 	 {S. Pohl and F. Radlinski and T. Joachims},
  title = 	 {Recommending Related Papers Based on Digital Library Access Records},
  booktitle =	 {Joint Conference on Digital Libraries (JCDL)},
  pages =	 {417--418},
  year =	 2007
}

@InProceedings{Radlinski/Joachims/05a,
  author =	 {F. Radlinski and T. Joachims},
  title =	 {Query Chains: Learning to Rank from Implicit
                  Feedback},
  booktitle =	 {ACM SIGKDD International Conference On Knowledge
                  Discovery and Data Mining (KDD)},
  pages =	 "239--248",
  year =	 2005
}

@InProceedings{Radlinski/Joachims/06a,
  author =	 {F. Radlinski and T. Joachims},
  title =	 {Minimally Invasive Randomization for Collecting
                  Unbiased Preferences from Clickthrough Logs},
  booktitle =	 {Conference of the Association for the Advancement of
                  Artificial Intelligence (AAAI)},
  pages =	 {1406--1412},
  year =	 2006
}

@InProceedings{Radlinski/Joachims/07a,
  author =	 {F. Radlinski and T. Joachims},
  title =	 {Active Exploration for Learning Rankings from
                  Clickthrough Data},
  booktitle =	 {ACM SIGKDD International Conference On Knowledge
                  Discovery and Data Mining (KDD)},
  year =	 2007
}

@Proceedings{Sahami/etal/98a,
  title =	 {Learning for Text Categorization},
  year =	 1998,
  editor =	 {M. Sahami and M. Craven and T. Joachims and
                  A. McCallum},
  series =	 {ICML/AAAI Workshop},
  number =	 {WS-98-05},
  publisher =	 {AAAI Press},
  month =	 {July}
}

@TechReport{Scheffer/Joachims/98a,
  author =	 {T. Scheffer and T. Joachims},
  title =	 {Estimating the expected error of empirical
                  minimizers for model selection},
  institution =	 {TU-Berlin},
  year =	 1998,
  number =	 {TR-98-9},
  month =	 {July}
}

@InProceedings{Scheffer/Joachims/99a,
  author =	 {T. Scheffer and T. Joachims},
  title =	 {Expected Error Analysis for Model Selection},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 "361--370",
  address =	 {Bled, Slowenien},
  year =	 1999
}

@InProceedings{Shaparenko/Joachims/07a,
  author = 	 {B. Shaparenko and T. Joachims},
  title = 	 {Information Genealogy: Uncovering the Flow of Ideas in Non-Hyperlinked Document Databases},
  booktitle =	 {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
  pages =        {619--628},
  year =	 2007
}

@InProceedings{Shaparenko/etal/05,
  author =	 {B. Shaparenko and R. Caruana and J. Gehrke and
                  T. Joachims},
  title =	 {Identifying Temporal Patterns and Key Players in
                  Document Collections},
  booktitle =	 {IEEE ICDM Workshop on Temporal Data Mining:
                  Algorithms, Theory and Applications (TDM-05)},
  pages =	 {165--174},
  year =	 2005
}

@InProceedings{Tsochantaridis/etal/04,
  author =	 {I. Tsochantaridis and T. Hofmann and T. Joachims and
                  Y. Altun},
  title =	 {Support Vector Machine Learning for Interdependent
                  and Structured Output Spaces},
  booktitle =	 {International Conference on Machine Learning (ICML)},
  pages =	 {104--112},
  year =	 2004
}

@Article{Tsochantaridis/etal/05a,
  author =	 {I. Tsochantaridis and T. Joachims and T. Hofmann and
                  Y. Altun},
  title =	 {Large Margin Methods for Structured and
                  Interdependent Output Variables},
  journal =	 {Journal of Machine Learning Research (JMLR)},
  year =	 2005,
  volume =	 6,
  pages =	 {1453--1484},
  month =	 {September}
}

@InProceedings{Yu/etal/06,
  author =	 {Chun-Nam Yu and T. Joachims and R. Elber},
  title =	 {Training Protein Threading Models Using Structural
                  SVMs},
  booktitle =	 {ICML Workshop on Learning in Structured Output Spaces},
  year =	 2006
}

@InProceedings{Yu/etal/07a,
  author = 	 {Chun-Nam Yu and T. Joachims and R. Elber and J. Pillardy},
  title = 	 {Support Vector Training of Protein Alignment Models},
  booktitle =	 {Proceeding of the International Conference on Research in Computational Molecular Biology (RECOMB)},
  pages =	 {253--267},
  year =	 2007
}

@InProceedings{Yue/etal/07a,
  author =	 {Yisong Yue and T. Finley and F. Radlinski and
                  T. Joachims},
  title =	 {A Support Vector Method for Optimizing Average
                  Precision},
  booktitle =	 {ACM SIGIR Conference on Research and Development in
                  Information Retrieval (SIGIR)},
  pages =        {271--278},
  year =	 2007
}

@InProceedings{Schultz/Joachims/03,
  title =	"Learning a Distance Metric from Relative Comparisons",
  author =	"M. Schultz and T. Joachims",
  publisher =	"MIT Press",
  year = 	"2003",
  booktitle =	"Advances in Neural Information Processing Systems (NeurIPS)"
}

@Article{Lorigo/etal/06,
  title =	"The influence of task and gender on search and
		 evaluation behavior using Google",
  author =	"L. Lorigo and Bing Pan and H. Hembrooke and
		 T. Joachims and L. Granka and G. Gay",
  journal =	"Inf. Process. Manage",
  year = 	"2006",
  number =	"4",
  volume =	"42",
  pages =       "1123 -- 1131",
  bibdate =	"2006-01-06",
  bibsource =	"DBLP,
		 http://dblp.uni-trier.de/db/journals/ipm/ipm42.html#LorigoPHJGG06",
  URL =  	"http://dx.doi.org/10.1016/j.ipm.2005.10.001",
}

@Article{Pan/etal/07a,
  author = 	 {Bing Pan and H. Hembrooke and T. Joachims and L. Lorigo and G. Gay and L. Granka},
  title = 	 {In Google We Trust: Users' Decisions on Rank, Position, and Relevance},
  journal = 	 {Journal of Computer-Mediated Communication},
  year = 	 2007,
  volume =	 12,
  number =	 3,
  pages =	 {801--823}
}


@Misc{vicorecs,
  title =	 {{ViCoRecS} {R}ecommender {S}ystem for {KDD} 2020},
  key =          {vicorecs},
  howpublished = {{\tt https://vicorecs.cs.cornell.edu/}}}

@Misc{vicorecsdata,
  title =	 {{ViCoRecS} {D}ataset from {KDD} 2020},
  key =          {vicorecsdata},
  howpublished = {{\tt https://github.com/bayoumi17m/SW-matching-markets}}}

@Misc{arxivsearch,
  title =	 {Arxiv {F}ull-{T}ext {S}earch {E}ngine},
  key =          {arxiv full-text search},
  howpublished = {{https://search.arxiv.org}}}

@Misc{arxiv,
  title =	 {Arxiv {R}epository of {S}cientific {L}iterature},
  key =          {arxiv repository},
  howpublished = {{\tt https://www.arxiv.org}}}

@Misc{myarxiv,
  title =	 {My{A}rixv {R}ecommendation {S}ystem (in beta test)},
  key =          {myarxiv},
  howpublished = {{\tt http://my.arxiv.org}}}

@Misc{megsradio,
  title =	 {Megs{R}adio {I}nternet {R}adio {S}tation},
  key =          {megsradio},
  howpublished = {{\tt http://megsradio.fm}}}

@Misc{localify,
  title =	 {Localify! Music Recommender System},
  key =          {localify},
  howpublished = {{http://localify.org}}}

@Misc{peergrading,
  title =	 {{O}nline {P}eergrading {S}ystem and {S}oftware},
  key =          {online peergrading},
  howpublished = {{\tt http://peergrading.org}}}