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Zebang Shen 沈泽邦
Zebang Shen 沈泽邦
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Hessian aided policy gradient
Z Shen, H Hassani, C Mi, H Qian, A Ribeiro
International conference on machine learning, 5729-5738, 2019
1032019
One sample stochastic frank-wolfe
M Zhang, Z Shen, A Mokhtari, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics, 4012-4023, 2020
712020
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Z Shen, A Mokhtari, T Zhou, P Zhao, H Qian
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
672018
An agnostic approach to federated learning with class imbalance
Z Shen, J Cervino, H Hassani, A Ribeiro
International Conference on Learning Representations, 2021
642021
Stochastic conditional gradient++:(non) convex minimization and continuous submodular maximization
H Hassani, A Karbasi, A Mokhtari, Z Shen
SIAM Journal on Optimization 30 (4), 3315-3344, 2020
44*2020
Efficient projection-free online methods with stochastic recursive gradient
J Xie, Z Shen, C Zhang, B Wang, H Qian
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6446-6453, 2020
39*2020
Complexities in projection-free stochastic non-convex minimization
Z Shen, C Fang, P Zhao, J Huang, H Qian
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
332019
A decentralized proximal point-type method for saddle point problems
W Liu, A Mokhtari, A Ozdaglar, S Pattathil, Z Shen, N Zheng
arXiv preprint arXiv:1910.14380, 2019
322019
Jump: A joint predictor for user click and dwell time
T Zhou, H Qian, Z Shen, C Zhang, C Wang, S Liu, W Ou
Proceedings of the 27th International Joint Conference on Artificial …, 2018
262018
Tensor completion with side information: A riemannian manifold approach.
T Zhou, H Qian, Z Shen, C Zhang, C Xu
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
23*2017
Multitask metric learning: Theory and algorithm
B Wang, H Zhang, P Liu, Z Shen, J Pineau
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
222019
Adaptive Variance Reducing for Stochastic Gradient Descent.
Z Shen, H Qian, T Zhou, T Mu
Proceedings of the 25th International Joint Conference on Artificial …, 2016
212016
Sinkhorn barycenter via functional gradient descent
Z Shen, Z Wang, A Ribeiro, H Hassani
Thirty-fifth Conference on Neural Information Processing Systems, 2020
172020
Sinkhorn natural gradient for generative models
Z Shen, Z Wang, A Ribeiro, H Hassani
Advances in Neural Information Processing Systems 33, 1646-1656, 2020
172020
Share your representation only: Guaranteed improvement of the privacy-utility tradeoff in federated learning
Z Shen, J Ye, A Kang, H Hassani, R Shokri
The Eleventh International Conference on Learning Representations, 2023
162023
Decentralized gradient tracking for continuous dr-submodular maximization
J Xie, C Zhang, Z Shen, C Mi, H Qian
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
162019
Stochastic continuous greedy++: When upper and lower bounds match
A Karbasi, H Hassani, A Mokhtari, Z Shen
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
152019
Straggler-resilient personalized federated learning
I Tziotis, Z Shen, R Pedarsani, H Hassani, A Mokhtari
Transactions on Machine Learning Research, 2022
132022
Self-Consistency of the Fokker-Planck Equation
Z Shen, Z Wang, S Kale, A Ribeiro, A Karbasi, H Hassani
Conference on Learning Theory. PMLR, 2022., 2022
122022
A stochastic trust region method for non-convex minimization
Z Shen, P Zhou, C Fang, A Ribeiro
arXiv preprint arXiv:1903.01540, 2019
122019
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