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Machine Learning Research Pod
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*All times in Pacific Time
Aug. 31, 2026
|
2 – 4 p.m.
Phase transitions in SGD beyond Lyapunov stability
Avrajit Ghosh (UC Berkeley)
Aug. 24, 2026
|
2 – 4 p.m.
Continuous Diffusion on the Hypercube: A Single Tilt–Mean Operator and Training-Free Reward Tilting
Aug. 3, 2026
|
2 – 4 p.m.
Hera: A Fast Optimization Algorithm for Softmax Self-attention
July 27, 2026
|
2 – 4 p.m.
ML and AI Theory Seminar
July 20, 2026
|
2 – 4 p.m.
Training Diagonal Linear Networks with Stochastic Sharpness-Aware Minimization
Gabriel Clara (Simons Institute for the Theory of Computing)
July 13, 2026
|
2 – 4 p.m.
Instance-wise Risk Comparisons in Linear Regression: Dominance and Admissibility
Jingfeng Wu (UC Berkeley)
Feb. 18
–
20, 2025
Deep Learning Theory
Jingfeng Wu
(UC Berkeley)
Peter Bartlett
(UC Berkeley)
Soufiane Hayou
(UC Berkeley)
Feb. 6, 2023
|
11 a.m. – 12 p.m.
CANCELLED: Optimal Online Learning Using Potential Functions
Yoav Freund (UC San Diego)
Dec. 6
–
7, 2021
Deep Learning Theory Symposium
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