Fall 2025
Sep 5 – Robert Nowak, University of Wisconsin-Madison
Function Space Perspectives on Neural Networks
Sep 12 – Shay Moran, Technion
Characterizations of Uniform Learnability: Vapnik-Chervonenkis, Natarajan, and Daniely-Shalev Shwartz Dimensions
Sep 19 – Benjamin Recht, University of California, Berkeley
The Irrational Decision
Sep 26 – No Seminar
Oct 3 – Yuejie Chi, Yale University
Transformers Learn Generalizable Chain-of-Thought Reasoning via Gradient Descent
Oct 10 – Weijie Su, Unviersity of Pennsylvania
Do Large Language Models (Really) Need Statistical Foundations?
Oct 17 – Navid Azizan, MIT
Hard-Constrained Neural Networks
Oct 24 – Stefan Wager, Stanford University
Learning to Price Electricity for Optimal Demand Response
Oct 31 – Vardan Papyan, University of Toronto
Attention Sinks: A ‘Catch, Tag, Release’ Mechanism for Embeddings
Nov 7 – Tatsunori Hashimoto, Stanford Unviersity
Back to the future – data efficient language modeling
Nov 14 – Sewoong Oh, University of Washington
Private statistical estimation via robustness and stability
Nov 21 – Christos Thrampoulidis, University of British Columbia
The Implicit Geometry of Deep Representations: Insights From Log-Bilinear Softmax Models