Chao Qu
Chao Qu
Ant Financial Services Group
Zweryfikowany adres z u.nus.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
C Qu, S Mannor, H Xu, Y Qi, L Song, J Xiong
Neurips 2019, 2019
212019
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
C Qu, H Xu
Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015
212015
Non-convex Conditional Gradient Sliding
C Qu, Y Li, H Xu
Proceedings of The 35th International Conference on Machine Learning (ICML-2018), 2017
162017
Nonlinear Distributional Gradient Temporal-Difference Learning
C Qu, S Mannor, H Xu
ICML2019, 2018
152018
linear convergence of svrg in statistical estimation
C Qu, Y Li, H Xu
arXiv:1611.01957, 2016
122016
Fast Rate Analysis of Some Stochastic Optimization Algorithms
C Qu, H Xu, CJ Ong
Proceedings of The 33rd International Conference on Machine Learning (ICML-2016), 2016
72016
The role of orientation diversity in binocular vergence control
C Qu, B Shi
IJCNN 2011, 2011
72011
SAGA and Restricted Strong Convexity
C Qu, Y Li, H Xu
arXiv:1701.07808, 2017
42017
Linear Convergence of SDCA in Statistical Estimation
C Qu, H Xu
arXiv:1701.07808, 2017
42017
Intention Propagation for Multi-agent Reinforcement Learning
C Qu, H Li, C Liu, J Xiong, J Zhang, W Chu, Y Qi, L Song
arXiv preprint arXiv:2004.08883, 2020
32020
Communication-Efficient Projection-Free Algorithm for Distributed Optimization
Y Li, C Qu, H Xu
https://arxiv.org/abs/1805.07841, 2018
12018
Fast Global Convergence via Landscape of Empirical Loss
C Qu, Y Li, H Xu
https://arxiv.org/abs/1802.04617, 2018
2018
Projection-Free Algorithms in Statistical Estimation
Y Li, C Qu, H Xu
https://arxiv.org/abs/1805.07844, 2018
2018
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