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Spotlight Session
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Wed 13:30 |
Miscellaneous Aspects of Machine Learning/Reinforcement Learning |
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Spotlight
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Thu 11:00 |
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond Sonja Kraiczy · Edith Elkind |
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Spotlight
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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 |
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Tutorial
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Mon 6:30 |
Validity, Reliability, and Significance: A Tutorial on Statistical Methods for Reproducible Machine Learning Stefan Riezler · Michael Hagmann |
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Tutorial
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Mon 6:30 |
Causality and Deep Learning: Synergies, Challenges and the Future Nan Rosemary Ke · Stefan Bauer |
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Tutorial
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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 |
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Poster
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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 |
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Tutorial
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Mon 10:00 |
Climate Change and Machine Learning: Opportunities, Challenges, and Considerations Priya Donti · David Rolnick · Lynn Kaack |
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Invited Talk
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Thu 6:00 |
Design for Inference in Drug Discovery and Development Aviv Regev |
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Invited Talk
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Wed 12:15 |
Synthetic Control Methods and Difference-In-Differences Guido Imbens |
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Invited Talk
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Tue 6:00 |
Towards a Mathematical Theory of Machine Learning Weinan E |
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Poster
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Tue 15:30 |
Inferring Cause and Effect in the Presence of Heteroscedastic Noise Sascha Xu · Osman Ali Mian · Alexander Marx · Jilles Vreeken |