Hello and Welcome

Hi! I'm Karthik, a final-year PhD candidate in the Computer Science Department at Cornell. I am advised by Prof. Thorsten Joachims, working on Machine Learning, Data Science and Information Retrieval. I am grateful to be supported by the Google PhD Fellowship and the Yahoo! Key Scientific Challenge Award. You can find a complete list of my publications here.

At SIGIR, 2010

Contact:     349 Gates Hall, Cornell University
                Ithaca, NY, 14853-7501
Email At:     (my-first-name)[at]cs[dot]cornell[dot]edu


I am on the job market for positions starting in Fall 2015.
Please find my application material here (including my CV).

 

Latest News

  • Invited talk on Learning with Humans in the Loop at NIPS-2014 Personalization workshop. Slides online.
  • Paper on Bayesian Ordinal Peer Grading accepted into ACM L@S 2015 conference. An older version that was presented at the NIPS-2014 workshop on Human-Propelled Machine Learning can be found here. Short set of slides available here.
  • Journal paper on Understanding Intrinsic Diversity in Web Search published in ACM TOIS Journal (Oct 2014 issue).
  • Invited talk on Interactive Machine Learning with Humans in the Loop at Los Alamos National Laboratory. Slides online.
  • Paper on machine learning methods for ordinal peer-grading at scale at KDD 2014. Datasets and Code available. Recording of talk available here. Slides available here.
  • Launched web service for peer-grading at scale using machine learning techniques. Details of our method can be found in our Paper. Our toolkit can also be downloaded as a software.
  • Won the Best Student Paper Award at SIGIR 2013 for work on Intrinsic Diversity in Web Search. Paper and Slides are online. A recording of a longer version of the talk (by Paul) is also online.
  • Paper on online learning of socially optimal information systems at ECML 2013. Slides and Poster are online.
  • Awarded Google PhD Fellowship.
  • Paper on improving inference in big data pipelines at KDD 2013. Slides and Poster are online.
  • Paper on stable coactive learning at ICML 2013. Slides and Poster are online.
  • Awarded Yahoo! Key Scientific Challenge Award.

 

Research Interests

  • Machine Learning, Structured Prediction, Online Learning
  • Web Search, Information Retrieval, Learning to Rank, Rank Aggregation, Recommender Systems
  • Educational Analytics, Peer Grading, Machine Learning for MOOCs
  • Data Science, Big Data Analytics, Data Pipelines, Data Mining

  • I am also interested in Natural Langauge Processing, Information Networks and Game Theory

 

Software

 

Selected Publications

You can find a complete list of my publications along with additional resources including presentations, posters, bibtex and talk videos here.


 

You can also find me on Google Scholar, DBLP, ArnetMiner, ResearchGate and ACM.


Education


  • Ph.D. in Computer Science (Minor in Applied Mathematics) at Cornell University (Expected: June 2015)
  • M.S. in Computer Science at Cornell University (2013)
  • B.Tech at IIT Bombay (2010)

 

Awards


 

Work Experience


  • Intern at Google: May-August 2014
  • Research Intern at MSR, Redmond: May-August 2012
  • Research Intern at MSR, Redmond: May-August 2011
  • Research Intern at MSR,Bangalore: May-July 2009

 

Invited Talks


Teaching Experience


  • TA: CS4780/5780 (Machine Learning) Fall 2011, Fall 2013, Fall 2014
  • Lectures: CS4780/5780 (Machine Learning) on 9/11/12
  • Students Mentored/Co-Advised: Ashueep Singh (Fall 2014), Ziyu Fan (Fall 2013, Spring 2014), Akhilesh Potti (Fall 2013, Spring 2014), Tobias Schnabel (Spring 2012), Diego Accame (Spring 2012)


Reviewing Experience


  • PC Member: WWW (2014, 2015); WSDM (2015); ICML (2014, 2015); KDD (2015); SIGIR (2014); ECML (2013, 2014); CIKM (2013), MOD (2015); IKDD (2014); CaRR (2013)
  • Reviewer: KDD(2014); ICML (2013); CIKM (2012); SIGIR (2012); AAAI (2012); IJCNLP (2011)
  • Journal Reviewing: JMLR, Machine Learning, ACM TOIS

 

Last Edited: Dec 22th, 2014