most citedRobust Learning for Smoothed Online Convex Optimization with Feedback Delay

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Shape-restricted transfer learning analysis for generalized linear regression model

Pengfei Li, Tao Yu, Chixiang Chen +1

Transfer learning has emerged as a highly sought-after and actively pursued research area within the statistical community. The core concept of transfer learning involves leveragin…

cs.AI2024

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing

Biqing Qi, Pengfei Li, Fangyuan Li +3

Direct Preference Optimization (DPO) improves the alignment of large language models (LLMs) with human values by training directly on human preference datasets, eliminating the nee…

cs.GT2024

Online Allocation with Replenishable Budgets: Worst Case and Beyond

Jianyi Yang, Pengfei Li, Mohammad Jaminur Islam +1

This paper studies online resource allocation with replenishable budgets, where budgets can be replenished on top of the initial budget and an agent sequentially chooses online all…

cs.LG20231 cited

Robust Learning for Smoothed Online Convex Optimization with Feedback Delay

Pengfei Li, Jianyi Yang, Adam Wierman +1

We study a challenging form of Smoothed Online Convex Optimization, a.k.a. SOCO, including multi-step nonlinear switching costs and feedback delay. We propose a novel machine learn…

cs.LG2023

Robustified Learning for Online Optimization with Memory Costs

Pengfei Li, Jianyi Yang, Shaolei Ren

Online optimization with memory costs has many real-world applications, where sequential actions are made without knowing the future input. Nonetheless, the memory cost couples the…