Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions. - Xufeng Cai; Chaobing Song; Cristóbal Guzmán; Jelena Diakonikolas (NeurIPS, 2022)

A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems. - Xufeng Cai; Chaobing Song; Cristóbal Guzmán; Jelena Diakonikolas (CoRR, 2022)

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. - Xufeng Cai; Chaobing Song; Stephen J. Wright 001; Jelena Diakonikolas (ICML, 2023)

Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds. - Xufeng Cai; Cheuk Yin Lin; Jelena Diakonikolas (CoRR, 2023)

Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. - Xufeng Cai; Ahmet Alacaoglu; Jelena Diakonikolas (ICLR, 2024)

Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective. - Xufeng Cai; Cheuk Yin Lin; Jelena Diakonikolas (NeurIPS, 2024)

Last Iterate Convergence of Incremental Methods and Applications in Continual Learning. - Xufeng Cai; Jelena Diakonikolas (CoRR, 2024)

Last Iterate Convergence of Incremental Methods as a Model of Forgetting. - Xufeng Cai; Jelena Diakonikolas (ICLR, 2025)

HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback. - Xufeng Cai; Ziwei Guan; Lei Yuan; Ali Selman Aydin; Tengyu Xu; Boying Liu; Wenbo Ren; Renkai Xiang; Songyi He; Haichuan Yang; Serena Li; Mingze Gao; et al. (KDD (1), 2025)

Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm. - Xufeng Cai; Jason M. Altschuler; Jelena Diakonikolas (CoRR, 2025)