2 papers
cs.LG2026
Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations
Hang Yu, Yu-Hu Yan, Peng Zhao
Gradient-variation online learning has drawn increasing attention due to its deep connections to game theory, optimization, etc. It has been studied extensively in the full-informa…
cs.LG2025
Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization
Peng Zhao, Yu-Hu Yan, Hang Yu +1
Universal online learning aims to achieve optimal regret guarantees without requiring prior knowledge of the curvature of online functions. Existing methods have established minima…