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Tutorial

Reinforcement Learning from Human Feedback: A Tutorial *

Dmitry Ustalov · Nathan Lambert
Jul 24, 12:30 PM - 3:00 PM Ballroom B
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Tutorial

Tutorial on Multimodal Machine Learning: Principles, Challenges, and Open Questions

Paul Liang · LP Morency
Jul 24, 12:30 PM - 3:00 PM Exhibit Hall 2
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Tutorial

Optimal Transport in Learning, Control, and Dynamical Systems

Charlotte Bunne · marco cuturi
Jul 24, 12:30 PM - 3:00 PM Meeting Room 316 A-C
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Tutorial

Self-Supervised Learning in Vision: from Research Advances to Best Practices

Xinlei Chen · Ishan Misra · Randall Balestriero · Mathilde Caron · Christoph Feichtenhofer · Mark Ibrahim
Jul 24, 4:30 PM - 6:30 PM Exhibit Hall 2
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Tutorial

How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy

Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu
Jul 24, 4:30 PM - 6:30 PM Meeting Room 316 A-C
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Tutorial

Discovering Agent-Centric Latent States in Theory and in Practice

John Langford · Alex Lamb
Jul 24, 7:00 PM - 9:00 PM Meeting Room 316 A-C
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Tutorial

Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges

Krishnaram Kenthapadi · Hima Lakkaraju · Nazneen Rajani
Jul 24, 7:00 PM - 9:00 PM Exhibit Hall 2
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Tutorial

Recent Advances in the Generalization Theory of Neural Networks *

Tengyu Ma · Alex Damian
Jul 24, 7:00 PM - 9:00 PM Ballroom B
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