Wang, Guanyi

6 publications

NeurIPS 2024 Solving Sparse \& High-Dimensional-Output Regression via Compression Renyuan Li, Zhehui Chen, Guanyi Wang

AISTATS 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson

TMLR 2023 An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson

NeurIPS 2021 Only Train Once: A One-Shot Neural Network Training and Pruning Framework Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

ECML-PKDD 2020 Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu

ICML 2020 Upper Bounds for Model-Free Row-Sparse Principal Component Analysis Guanyi Wang, Santanu Dey