Stochastic proximal quasi-Newton methods for non-convex composite optimization. - Xiaoyu Wang 008; Xiao Wang; Ya-Xiang Yuan (Optim. Methods Softw., 2019)

Improved Step-Size Schedules for Noisy Gradient Methods. - Sarit Khirirat; Xiaoyu Wang 008; Sindri Magnússon; Mikael Johansson 001 (ICASSP, 2021)

On the Convergence of Step Decay Step-Size for Stochastic Optimization. - Xiaoyu Wang 008; Sindri Magnússon; Mikael Johansson 001 (NeurIPS, 2021)

Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization. - Xiaoyu Wang 008; Mikael Johansson 001 (CoRR, 2021)

Zeroth-Order Randomized Subspace Newton Methods. - Erik Berglund 004; Sarit Khirirat; Xiaoyu Wang 008 (ICASSP, 2022)

On Uniform Boundedness Properties of SGD and its Momentum Variants. - Xiaoyu Wang 008; Mikael Johansson 001 (CoRR, 2022)

Generalized Polyak Step Size for First Order Optimization with Momentum. - Xiaoyu Wang 008; Mikael Johansson 001; Tong Zhang 001 (ICML, 2023)

On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size. - Xiaoyu Wang 008; Yaxiang Yuan (J. Mach. Learn. Res., 2023)

Improved Step-Size Schedules for Proximal Noisy Gradient Methods. - Sarit Khirirat; Xiaoyu Wang 008; Sindri Magnússon; Mikael Johansson 001 (IEEE Trans. Signal Process., 2023)

Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise. - Rui Pan 002; Yuxing Liu; Xiaoyu Wang 008; Tong Zhang 001 (ICLR, 2024)

ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting. - Rui Pan 002; Jipeng Zhang; Xingyuan Pan; Renjie Pi; Xiaoyu Wang 008; Tong Zhang 001 (CoRR, 2024)

Fully First-Order Methods for Decentralized Bilevel Optimization. - Xiaoyu Wang 008; Xuxing Chen; Shiqian Ma; Tong Zhang 001 (CoRR, 2024)

ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting. - Rui Pan 002; Dylan Zhang; Hanning Zhang; Xingyuan Pan; Minrui Xu; Jipeng Zhang; Renjie Pi; Xiaoyu Wang 008; Tong Zhang 001 (ACL (1), 2025)