1W-MINDS, Jan. 9 2025: Peng Wang, U Michigan: Understanding Distribution Learning of Diffusion. Mod.
57:12
1W-MINDS, Dec. 5, 2024: Qing Qu, University of Michigan, Generalizability in Diffusion Models
1:03:34
1W-MINDS Sept 26 2024, Joan Bruna (NYU) Quantitative High-Dimensional Learning of Multi-Index Models
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1W-MINDS, Nov 28 2024: Yan Shuo Tan, NUS, Statistical-Computational Trade-offs for Recursive...
54:00
Dmitriy Kunisky, Computational hardness of testing for graph lifts, 2024.09.10
52:21
1W-MINDS April 25 Laura Balzano (University of Michigan): Efficient Low-Dimensional Compression for
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1W-MINDS, Sept 27, 2024: Nikita Zhivotovskiy (UC Berkeley), Mean and covariance estimation for...
55:16
1W-Minds May 16: Molei Tao(Georgia Tech) Implicit Biases of Large Learning Rates in Machine Learning
52:14