Cheuk Yin Lin

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Semidefinite Programming

Quasi Monte Carlo

Variance Reduction

Convex Optimization

Top Venues

Publications

Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. CoRR (2023)
Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds. CoRR (2023)
Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. ICML (2023)
Chaobing Song, Cheuk Yin Lin, Stephen Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS (2022)
Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR (2021)
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta
Parameter-free Locally Accelerated Conditional Gradients. CoRR (2021)
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta
Parameter-free Locally Accelerated Conditional Gradients. ICML (2021)