Zebang Shen 沈泽邦
Zebang Shen 沈泽邦
Verified email at seas.upenn.edu
Title
Cited by
Cited by
Year
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
422018
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
222020
Hessian aided policy gradient
Z Shen, A Ribeiro, H Hassani, H Qian, C Mi
International Conference on Machine Learning, 5729-5738, 2019
212019
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
182019
Stochastic conditional gradient++
H Hassani, A Karbasi, A Mokhtari, Z Shen
arXiv preprint arXiv:1902.06992, 2019
152019
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
142016
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
13*2020
Tensor Completion with Side Information: A Riemannian Manifold Approach.
T Zhou, H Qian, Z Shen, C Zhang, C Xu
IJCAI, 3539-3545, 2017
11*2017
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
102018
Stochastic continuous greedy++: When upper and lower bounds match
A Karbasi, H Hassani, A Mokhtari, Z Shen
72019
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
62019
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization.
Z Shen, H Qian, T Mu, C Zhang
IJCAI, 2715-2721, 2017
6*2017
A stochastic trust region method for non-convex minimization
Z Shen, P Zhou, C Fang, A Ribeiro
arXiv preprint arXiv:1903.01540, 2019
52019
Sinkhorn Barycenter via Functional Gradient Descent
Z Shen, Z Wang, A Ribeiro, H Hassani
arXiv preprint arXiv:2007.10449, 2020
32020
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
32019
Towards memory-friendly deterministic incremental gradient method
J Xie, H Qian, Z Shen, C Zhang
International Conference on Artificial Intelligence and Statistics, 1147-1156, 2018
32018
Simple atom selection strategy for greedy matrix completion
Z Shen, H Qian, T Zhou, S Wang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
32015
Accelerated stochastic admm for empirical risk minimization
C Zhang, Q Hui, Z Shen, tengfei Zhou
arXiv preprint arXiv:1611.04074, 2016
22016
Kinetic energy plus penalty functions for sparse estimation
Z Zhang, S Zhao, Z Shen, S Zhou
arXiv preprint arXiv:1307.5601, 2013
22013
Sinkhorn Natural Gradient for Generative Models
Z Shen, Z Wang, A Ribeiro, H Hassani
Advances in Neural Information Processing Systems 33, 2020
12020
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Articles 1–20