3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
Yan-Feng Xie, Yu-Jie Zhang, Peng Zhao +1
We study dynamic regret minimization in non-stationary online learning, with a primary focus on follow-the-regularized-leader (FTRL) methods. FTRL is important for curved losses an…
cs.LG2024
Gradient-Variation Online Learning under Generalized Smoothness
Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou
Gradient-variation online learning aims to achieve regret guarantees that scale with variations in the gradients of online functions, which has been shown to be crucial for attaini…
cs.LG2023★ 3 cited
Efficient Methods for Non-stationary Online Learning
Peng Zhao, Yan-Feng Xie, Lijun Zhang +1
Non-stationary online learning has drawn much attention in recent years. In particular, dynamic regret and adaptive regret are proposed as two principled performance measures for o…