Chaobing Song - RankMe

22 papers A* 9Journal 13

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