596 citations · 600 across the 12 of their papers we have counts for
4 papers · 1 filter
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
Wei Jiang, Sifan Yang, Wenhao Yang +3
This paper investigates projection-free algorithms for stochastic constrained multi-level optimization. In this context, the objective function is a nested composition of several s…
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
Sijia Chen, Yibo Wang, Yi-Feng Wu +5
Tool-augmented large language models (LLMs) leverage tools, often in the form of APIs, to improve their reasoning capabilities on complex tasks. This enables them to act as intelli…
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang, Sifan Yang, Yibo Wang +1
This paper explores adaptive variance reduction methods for stochastic optimization based on the STORM technique. Existing adaptive extensions of STORM rely on strong assumptions l…
Universal Online Convex Optimization with Projection per Round
Wenhao Yang, Yibo Wang, Peng Zhao +1
To address the uncertainty in function types, recent progress in online convex optimization (OCO) has spurred the development of universal algorithms that simultaneously attain min…