Parameter-free Locally Accelerated Conditional Gradients. - Alejandro Carderera; Jelena Diakonikolas; Cheuk Yin Lin; Sebastian Pokutta (ICML, 2021)

Coordinate Linear Variance Reduction for Generalized Linear Programming. - Chaobing Song; Cheuk Yin Lin; Stephen J. Wright 001; Jelena Diakonikolas (NeurIPS, 2022)

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. - Cheuk Yin Lin; Chaobing Song; 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)

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