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Thorsten Joachims

Department Chair, IS; Professor (CS & IS)

Areas of Interest

Machine Learning, Information Retrieval, Learning from Behavioral Data, Language Technology

Biography

Thorsten Joachims is a Professor in the Department of Computer Science and in the Department of Information Science at Cornell University. He is currently Chair of the Department of Information Science. He joined Cornell in 2001 after finishing his Ph. D. as a student of Prof. Morik at the AI-unit of the University of Dortmund, from where he also received a Diplom in Computer Science in 1997. Between 2000 and 2001 he worked as a PostDoc at the GMD in the Knowledge Discovery Team of the Institute for Autonomous Intelligent Systems. From 1994 to 1996 he spent one and a half years at Carnegie Mellon University as a visiting scholar of Prof. Tom Mitchell. Working with his students and collaborators, his papers won 7 Best Paper Awards and 3 Test-of-Time Awards. Thorsten Joachims is an ACM Fellow, AAAI Fellow, and Humboldt Fellow.

Publications

Selected Publications (for a more complete list please see Thorsten Joachim's Home Page)

T. Schnabel, A. Swaminathan, A. Singh, N. Chandak, T. Joachims, Recommendations as Treatments: Debiasing Learning and Evaluation, International Conference on Machine Learning (ICML), 2016.

T. Schnabel, P. Bennett, S. Dumais, T. Joachims, Using Shortlists to Support Decision Making and Improve Recommender System Performance, World Wide Web Conference (WWW), 2016.

Shuo Chen, T. Joachims, Modeling Intransitivity in Matchup and Comparison Data, ACM Conference on Web Search and Data Mining (WSDM), 2016.

Siddharth Reddy, Igor Labutov, S. Banerjee, T. Joachims, Unbounded Human Learning: Optimal Scheduling for Spaced Repetition, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.

A. Swaminathan, T. Joachims, The Self-Normalized Estimator for Counterfactual Learning, Neural Information Processing Systems (NIPS), 2015.

A. Swaminathan, T. Joachims, Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization, JMLR Special Issue in Memory of Alexey Chervonenkis, 16(1):1731-1755, 2015.

T. Schnabel, I. Labutov, D. Mimno, T. Joachims, Evaluation Methods for Unsupervised Word Embeddings, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.

K. Raman, T. Joachims, Bayesian Ordinal Peer Grading, ACM Conference on Learning at Scale (L@S), 2015.

P. Shivaswamy, T. Joachims, Coactive Learning, Journal of Artificial Intelligence Research (JAIR), 53:1-40, 2915.

R. Sipos, A. Ghosh, T. Joachims, Was This Review Helpful to You? It Depends! Context and Voting Patterns in Online Content, International World Wide Web Conference (WWW), 2014.

J. Moore, T. Joachims, D. Turnbull, Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography, Conference of the International Society for Music Information Retrieval (ISMIR), 2014.