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Spotlight Session
Wed 13:30 Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Spotlight
Thu 11:00 Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Sonja Kraiczy · Edith Elkind
Spotlight
Wed 10:30 Communicating via Markov Decision Processes
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Tutorial
Mon 6:30 Validity, Reliability, and Significance: A Tutorial on Statistical Methods for Reproducible Machine Learning
Stefan Riezler · Michael Hagmann
Tutorial
Mon 6:30 Causality and Deep Learning: Synergies, Challenges and the Future
Nan Rosemary Ke · Stefan Bauer
Tutorial
Mon 12:30 Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models
Hao Zhang · Lianmin Zheng · Zhuohan Li · Ion Stoica
Poster
Wed 15:30 Communicating via Markov Decision Processes
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Tutorial
Mon 10:00 Climate Change and Machine Learning: Opportunities, Challenges, and Considerations
Priya Donti · David Rolnick · Lynn Kaack
Invited Talk
Thu 6:00 Design for Inference in Drug Discovery and Development
Aviv Regev
Invited Talk
Wed 12:15 Synthetic Control Methods and Difference-In-Differences
Guido Imbens
Invited Talk
Tue 6:00 Towards a Mathematical Theory of Machine Learning
Weinan E
Poster
Tue 15:30 Inferring Cause and Effect in the Presence of Heteroscedastic Noise
Sascha Xu · Osman Ali Mian · Alexander Marx · Jilles Vreeken