Song, Chaobing

10 publications

ICML 2023 Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas

ICML 2023 Cyclic Block Coordinate Descent with Variance Reduction for Composite Nonconvex Optimization Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas

NeurIPS 2022 A Fast Scale-Invariant Algorithm for Non-Negative Least Squares with Non-Negative Data Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song

NeurIPS 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming Chaobing Song, Cheuk Yin Lin, Stephen Wright, Jelena Diakonikolas

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

ICML 2021 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums Chaobing Song, Stephen J Wright, Jelena Diakonikolas

NeurIPS 2020 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma

NeurIPS 2020 Optimistic Dual Extrapolation for Coherent Non-Monotone Variational Inequalities Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma

NeurIPS 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song, Yong Jiang, Yi Ma

NeurIPS 2017 Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex Chaobing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia