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Poster
Thu 16:30 Language Generation in the Limit
Jon Kleinberg · Sendhil Mullainathan
Poster
Thu 11:00 Sample-Efficient Agnostic Boosting
Udaya Ghai · Karan Singh
Poster
Thu 16:30 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
Hongyu Cheng · Sammy Khalife · Barbara Fiedorowicz · Amitabh Basu
Poster
Thu 16:30 Efficient Discrepancy Testing for Learning with Distribution Shift
Gautam Chandrasekaran · Adam Klivans · Vasilis Kontonis · Konstantinos Stavropoulos · Arsen Vasilyan
Poster
Thu 16:30 Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang · Jicong Fan
Workshop
A Theory for Compressibility of Graph Transformers for Transductive Learning
Hamed Shirzad · Honghao Lin · Ameya Velingker · Balaji Venkatachalam · David Woodruff · Danica J. Sutherland
Workshop
Information-Theoretic Generalization Bounds for Batch Reinforcement Learning
Xingtu Liu
Poster
Thu 16:30 Randomized Truthful Auctions with Learning Agents
Gagan Aggarwal · Anupam Gupta · Andres Perlroth · Grigoris Velegkas
Poster
Thu 11:00 Understanding Model Selection for Learning in Strategic Environments
Tinashe Handina · Eric Mazumdar
Poster
Learning Partitions from Context
Simon Buchholz
Poster
Wed 16:30 Entropy testing and its application to testing Bayesian networks
Clément L Canonne · Qiping Yang
Poster
Thu 11:00 Soft ascent-descent as a stable and flexible alternative to flooding
Matthew Holland · Kosuke Nakatani