ICML 2023 Tutorials

Tutorials

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

Tutorial 1

Paul Liang · LP Morency

[ Exhibit Hall 2 ]

Reinforcement Learning from Human Feedback: A Tutorial *

Tutorial 4

Dmitry Ustalov

[ Ballroom B ]

Optimal Transport in Learning, Control, and Dynamical Systems

Tutorial 7

Charlotte Bunne · marco cuturi

[ Meeting Room 316 A-C ]

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

Tutorial 2

[ Exhibit Hall 2 ]

Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research

Tutorial 5

Giovanni Da San Martino · Preslav Nakov

[ Ballroom B ]

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

Tutorial 8

Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu

[ Meeting Room 316 A-C ]

Recent Advances in the Generalization Theory of Neural Networks *

Tutorial 6

Tengyu Ma · Alex Damian

[ Ballroom B ]

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

Tutorial 3

[ Exhibit Hall 2 ]

Discovering Agent-Centric Latent States in Theory and in Practice

Tutorial 9

John Langford · Alex Lamb

[ Meeting Room 316 A-C ]