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Zebang Shen 沈泽邦
Zebang Shen 沈泽邦
inf.ethz.ch의 이메일 확인됨 - 홈페이지
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Hessian aided policy gradient
Z Shen, H Hassani, C Mi, H Qian, A Ribeiro
International conference on machine learning, 5729-5738, 2019
772019
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
642020
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
642018
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
41*2020
An agnostic approach to federated learning with class imbalance
Z Shen, J Cervino, H Hassani, A Ribeiro
International Conference on Learning Representations, 2021
402021
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
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
322019
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
302019
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
212018
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
202019
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
202016
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
19*2017
Sinkhorn barycenter via functional gradient descent
Z Shen, Z Wang, A Ribeiro, H Hassani
Thirty-fifth Conference on Neural Information Processing Systems, 2020
152020
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
142019
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
132019
Sinkhorn natural gradient for generative models
Z Shen, Z Wang, A Ribeiro, H Hassani
Advances in Neural Information Processing Systems 33, 1646-1656, 2020
122020
A stochastic trust region method for non-convex minimization
Z Shen, P Zhou, C Fang, A Ribeiro
arXiv preprint arXiv:1903.01540, 2019
112019
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization.
Z Shen, H Qian, T Mu, C Zhang
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
10*2017
Federated functional gradient boosting
Z Shen, H Hassani, S Kale, A Karbasi
International Conference on Artificial Intelligence and Statistics, 7814-7840, 2022
82022
Partial gromov-wasserstein learning for partial graph matching
W Liu, C Zhang, J Xie, Z Shen, H Qian, N Zheng
arXiv preprint arXiv:2012.01252, 2020
82020
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