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Registration Desk
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Sun 7:00
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Registration Check-in Desk
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Tutorial
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Mon 12:30
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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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Tutorial
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Mon 10:00
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Bridging Learning and Decision Making
Dylan Foster · Alexander Rakhlin
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Tutorial
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Mon 6:30
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Quantitative Reasoning About Data Privacy in Machine Learning
Chuan Guo · Reza Shokri
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Tutorial
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Mon 12:30
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Sampling as First-Order Optimization over a space of probability measures
Anna Korba · Adil Salim
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Tutorial
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Mon 12:30
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Causal Fairness Analysis
Elias Bareinboim · Drago Plecko
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Tutorial
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Mon 10:00
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Learning for Interactive Agents
Dorsa Sadigh · Anca Dragan
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Registration Desk
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Mon 4:00
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Registration Check-in Desk
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Tutorial
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Mon 6:30
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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
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Causality and Deep Learning: Synergies, Challenges and the Future
Nan Rosemary Ke · Stefan Bauer
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Tutorial
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Mon 10:00
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Climate Change and Machine Learning: Opportunities, Challenges, and Considerations
Priya Donti · David Rolnick · Lynn Kaack
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Poster
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Wed 15:30
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Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
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