Session 4
Date and Time:
Tuesday, February 24, 2026 - 9:00am to 10:30am
Location:
Fields Institute, Room 230
Abstract:
- Phase Transition of Regret for Logistic Regression with Large Weights
Michael Drmota, Philippe Jacquet, Changlong Wu, Wojciech Szpankowski - Optimal L2 Regularization in High-dimensional Continual Linear Regression
Gilad Karpel, Edward Moroshko, Ran Levinstein, Ron Meir, Daniel Soudry, Itay Evron - Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential
Yuping Zheng, Andrew Lamperski - Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
Jiaming Liang - Accelerated Mirror Descent for Non-Euclidean Star-convex Functions
Clement LEZANE, Sophie Langer, Wouter M Koolen - DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization
Shiva Koreddi, Sravani Sowrupilli - Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications
Zijian Liu
