Chao Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Dictionary Learning

Learning Algorithm

Top Venues

Publications

Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian
Neural Sinkhorn Gradient Flow. CoRR (2024)
Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
Towards Optimal Randomized Strategies in Adversarial Example Game. CoRR (2023)
Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. CoRR (2023)
Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
Robust Graph Dictionary Learning. ICLR (2023)
Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. AAAI (2023)
Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
Towards Optimal Randomized Strategies in Adversarial Example Game. AAAI (2023)
Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR (2023)
Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR (2021)
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
Aggregated Gradient Langevin Dynamics. AAAI (2020)
Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng
Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR (2020)
Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI (2020)
Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI (2020)
Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS (2019)
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
Aggregated Gradient Langevin Dynamics. CoRR (2019)
Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR (2019)
Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang
Towards Memory-Friendly Deterministic Incremental Gradient Method. AISTATS (2018)
Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
JUMP: a Jointly Predictor for User Click and Dwell Time. IJCAI (2018)
Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI (2017)
Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu
Tensor Completion with Side Information: A Riemannian Manifold Approach. IJCAI (2017)
Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou
Accelerated Variance Reduced Block Coordinate Descent. CoRR (2016)
Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou
Accelerated Stochastic ADMM with Variance Reduction. CoRR (2016)
Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI (2014)
Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
Improving the modified nyström method using spectral shifting. KDD (2014)