I am a Ph.D. student in the Computer Science Department at Cornell University. My main area of research is Machine Learning. I am currently working on ensemble learning, predicting calibrated probabilities with supervised learning and multi-task learning (inductive transfer). I am also interested in unsupervised/semi-supervised learning and learning from weaker feedback (e.g. multi-instance learning, multi label learning, learning from preferences).
Publications:( BibTeX )
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Journal papers:
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Peer reviewed conference papers:
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Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma: Regret Bounds for Sleeping Experts and Bandits - Proceedings of the 21st Annual Conference on Learning Theory (COLT 2008). Best student paper award.
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Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning - Proceedings of the 11th International Conference on AI and Statistics (AISTATS `07).
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David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana: Classifier Loss under Metric Uncertainty - Proceedings of the 18th European Conference on Machine Learning (ECML `07).
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Mark Schmidt, Alexandru Niculescu-Mizil, Kevin Murphy: Learning Graphical Model Structure using L1-Regularization Paths - Proceedings of the 22nd Conference on Artificial Intelligence (AAAI `07).
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Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Comparison of Supervised Learning Algorithms - Proceedings of the 23rd International Conference on Machine Learning (ICML `06). Top and bottom of the scales used to calculate normalized scores.
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Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil: Model Compression - Proceedings of the 12th International Conference on Knowledge Discovery and Data Mining (KDD `06).
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Rich Caruana, Art Munson, Alexandru Niculescu-Mizil: Getting the Most Out of Ensemble Selection - Proceedings of the 6th International Conference on Data Mining (ICDM `06). Full-length version.
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Alexandru Niculescu-Mizil, Rich Caruana: Predicting Good Probabilities With Supervised Learning - Proceedings of the 22nd International Conference on Machine Learning (ICML `05). Distinguished student paper award.
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Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting - Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI `05).
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Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes: Ensemble Selection from Libraries of Models - Proceedings of the 21st International Conference on Machine Learning (ICML `04).
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Rich Caruana, Alexandru Niculescu-Mizil: Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria - Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining (KDD `04).
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Workshop papers:
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Fun stuff: