Chaobing Song

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 22

Top Topics

Variance Reduction

Convex Optimization

Linear Programming

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, Chaobing Song, Stephen Wright, Jelena Diakonikolas
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. ICML (2023)
Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. ICML (2023)
Chaobing Song, Jelena Diakonikolas
Cyclic Coordinate Dual Averaging with Extrapolation. SIAM J. Optim. 33 (4) (2023)
Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. NeurIPS (2022)
Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions. NeurIPS (2022)
Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. CoRR (2022)
Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems. CoRR (2022)
Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR (2022)
Chaobing Song, Cheuk Yin Lin, Stephen Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS (2022)
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR (2021)
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML (2021)
Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR (2021)
Chaobing Song, Jelena Diakonikolas
Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities. CoRR (2021)
Chaobing Song, Yong Jiang, Yi Ma
Unified Acceleration of High-Order Algorithms under General Hölder Continuity. SIAM J. Optim. 31 (3) (2021)
Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. CoRR (2021)
Chaobing Song, Yong Jiang, Yi Ma
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. NeurIPS (2020)
Chaobing Song, Yong Jiang, Yi Ma
Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. CoRR (2020)
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS (2020)
Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. NeurIPS (2020)
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR (2020)
Chaobing Song, Yi Ma
Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. CoRR (2019)