Zebang Shen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 57

Top Topics

Empirical Risk Minimization

Stochastic Gradient

Top Venues

Publications

Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He
Learning to Steer Markovian Agents under Model Uncertainty. CoRR (2024)
Fang Feng, Qingguo Zhou, Zebang Shen, Xuhui Yang, Lihong Han, Jinqiang Wang
The application of a novel neural network in the detection of phishing websites. J. Ambient Intell. Humaniz. Comput. 15 (3) (2024)
Xiang Li, Zebang Shen, Liang Zhang, Niao He
A Hessian-Aware Stochastic Differential Equation for Modelling SGD. CoRR (2024)
Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
Straggler-Resilient Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. ICLR (2023)
Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. CoRR (2023)
Zebang Shen, Zhenfu Wang
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs. NeurIPS (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)
Zebang Shen, Zhenfu Wang
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs. CoRR (2023)
Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR (2023)
Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. AAAI (2022)
Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani
Self-Consistency of the Fokker-Planck Equation. CoRR (2022)
Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani
Self-Consistency of the Fokker Planck Equation. COLT (2022)
Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi
Federated Functional Gradient Boosting. AISTATS (2022)
Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro
An Agnostic Approach to Federated Learning with Class Imbalance. ICLR (2022)
Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
Straggler-Resilient Personalized Federated Learning. CoRR (2022)
Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. AAAI (2021)
Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR (2021)
Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi
Federated Functional Gradient Boosting. CoRR (2021)
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
Sinkhorn Natural Gradient for Generative Models. CoRR (2020)
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
Aggregated Gradient Langevin Dynamics. AAAI (2020)
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
Sinkhorn Barycenter via Functional Gradient Descent. CoRR (2020)
Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization. SIAM J. Optim. 30 (4) (2020)
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
Sinkhorn Barycenter via Functional Gradient Descent. NeurIPS (2020)
Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng
Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR (2020)
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
Sinkhorn Natural Gradient for Generative Models. NeurIPS (2020)
Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI (2020)
Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
One Sample Stochastic Frank-Wolfe. AISTATS (2020)
Mohammad Fereydounian, Zebang Shen, Aryan Mokhtari, Amin Karbasi, Hamed Hassani
Safe Learning under Uncertain Objectives and Constraints. CoRR (2020)
Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI (2020)
Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau
Multitask Metric Learning: Theory and Algorithm. AISTATS (2019)
Weijie Liu, Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil, Zebang Shen, Nenggan Zheng
A Decentralized Proximal Point-type Method for Saddle Point Problems. CoRR (2019)
Rui Zhou, Xue Li, Binbin Yong, Zebang Shen, Chen Wang, Qingguo Zhou, Yunshan Cao, Kuan-Ching Li
Arrhythmia recognition and classification through deep learning-based approach. Int. J. Comput. Sci. Eng. 19 (4) (2019)
Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
One Sample Stochastic Frank-Wolfe. CoRR (2019)
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)
Zebang Shen, Yichong Xu, Muchen Sun, Alexander Carballo, Qingguo Zhou
3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT. ITSC (2019)
Binbin Yong, Zebang Shen, Yongqiang Wei, Jun Shen, Qingguo Zhou
Short-Term Electricity Demand Forecasting Based on Multiple LSTMs. BICS (2019)
Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi
Hessian Aided Policy Gradient. ICML (2019)
Amin Karbasi, Hamed Hassani, Aryan Mokhtari, Zebang Shen
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match. NeurIPS (2019)
Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian
Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS (2019)
Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR (2019)
Qingguo Zhou, Fang Feng, Zebang Shen, Rui Zhou, Meng-Yen Hsieh, Kuan-Ching Li
A novel approach for mobile malware classification and detection in Android systems. Multim. Tools Appl. 78 (3) (2019)
Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen
Stochastic Conditional Gradient++. CoRR (2019)
Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou
GVM based intuitive simulation web application for collision detection. Neurocomputing 279 (2018)
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, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. CoRR (2018)
Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. ICML (2018)
Dan Chen, Zhongzhou Lu, Zebang Shen, Gaofeng Zhang, Chong Chen, Qingguo Zhou
Path Embeddings with Prescribed Edge in the Balanced Hypercube Network. Symmetry 9 (6) (2017)
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)
Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
Riemannian Tensor Completion with Side Information. CoRR (2016)
Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou
Accelerated Stochastic ADMM with Variance Reduction. CoRR (2016)
Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu
Adaptive Variance Reducing for Stochastic Gradient Descent. IJCAI (2016)
Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
Fast Hybrid Algorithm for Big Matrix Recovery. AAAI (2016)
Zebang Shen, Hui Qian, Tengfei Zhou, Song Wang
Simple Atom Selection Strategy for Greedy Matrix Completion. IJCAI (2015)