Registration Desk: Registration Mon 24 Jul 08:00 a.m.
ICML Education Outreach Panel Mon 24 Jul 08:30 a.m.
ICML’s Education Outreach Program hosts computer science undergraduate students from the University of Hawaii. A panel headed by the ICML General Chair and Program Chairs will begin with introductions and a Q & A session. Here, the esteemed panelists will introduce students to the field of machine learning, the current state of artificial intelligence, and future directions of this research. Through these conversations the panelists will provide information on educational pathways that will help the students achieve their career goals in computer science, machine learning, and AI.
Affinity Workshop: LatinX in AI (LXAI) Workshop Mon 24 Jul 08:45 a.m.
The LatinX in AI research workshop is a one-day event with invited speakers, oralpresentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning, highlighting the unique challenges of LatinX identifying researchers. The workshop aims to create a platform for the work of Latinx researchers and we invite everyone to attend.
Tutorial: Dmitry Ustalov · Nathan Lambert
Reinforcement Learning from Human Feedback: A Tutorial *
Bio s:
Tutorial: Paul Liang · LP Morency
Tutorial on Multimodal Machine Learning: Principles, Challenges, and Open Questions
Bio s:Tutorial: Charlotte Bunne · marco cuturi
Optimal Transport in Learning, Control, and Dynamical Systems
Bio s:Tutorial: Giovanni Da San Martino · Preslav Nakov
Bio s:
Tutorial: Xinlei Chen · Ishan Misra · Randall Balestriero · Mathilde Caron · Christoph Feichtenhofer · Mark Ibrahim
Self-Supervised Learning in Vision: from Research Advances to Best Practices
Bio s:Tutorial: Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
Bio s:Tutorial: John Langford · Alex Lamb
Discovering Agent-Centric Latent States in Theory and in Practice
Bio s:Tutorial: Krishnaram Kenthapadi · Hima Lakkaraju · Nazneen Rajani
Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges
Bio s:
Tutorial: Tengyu Ma · Alex Damian
Recent Advances in the Generalization Theory of Neural Networks *
Bio s: