DL2024 (Tokyo Deep Learning Workshop) [Day1 part1]

Date: March 18, 2024
Venue: RIKEN AIP Nihonbashi office, Tokyo, Japan
This video includes 3 talks.
* You can start each talk by clicking the time (h:m:s) before the speaker's name.
00:00:12 Ding Xuan Zhou (University of Sydney)
Title: Approximation theory of structured deep neural networks
00:32:49 Masashi Sugiyama (RIKEN AIP / The University of Tokyo)
Title: Importance-Weighting Approach to Distribution Shift Adaptation
01:10:56 Taiji Suzuki (The University of Tokyo / RIKEN AIP)
Title: Non-convex extensions of mean-field gradient methods: applications to reinforcement learning and in-context learning
The event page url:
aip.riken.jp/events/event_168...