Niao He
Title
Cited by
Cited by
Year
Stochastic alternating direction method of multipliers
H Ouyang, N He, L Tran, A Gray
International Conference on Machine Learning, 80-88, 2013
2392013
Scalable kernel methods via doubly stochastic gradients
B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song
Advances in Neural Information Processing Systems, 3041-3049, 2014
1832014
SBEED: Convergent reinforcement learning with nonlinear function approximation
B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song
International Conference on Machine Learning (ICML), PMLR 80:1125-1134, 2018
1132018
Time-sensitive recommendation from recurrent user activities
N Du, Y Wang, N He, J Sun, L Song
Advances in Neural Information Processing Systems, 3492-3500, 2015
1072015
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
International Conference on Artificial Intelligence and Statistics, PMLR 54 …, 2017
87*2017
Provable bayesian inference via particle mirror descent
B Dai, N He, H Dai, L Song
Artificial Intelligence and Statistics, 985-994, 2016
51*2016
Stochastic Generative Hashing
B Dai, R Guo, S Kumar, N He, L Song
International Conference on Machine Learning, PMLR 70:913-922, 2017
492017
Mirror prox algorithm for multi-term composite minimization and semi-separable problems
N He, A Juditsky, A Nemirovski
Computational Optimization and Applications 61 (2), 275-319, 2015
36*2015
Online learning for multivariate Hawkes processes
Y Yang, J Etesami, N He, N Kiyavash
Advances in Neural Information Processing Systems, 4937-4946, 2017
272017
Boosting the Actor with Dual Critic
B Dai, A Shaw, N He, L Li, L Song
International Conference on Learning Representations, 2017
242017
On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization
S Zhang, N He
arXiv preprint arXiv:1806.04781, 2018
222018
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
J Yang, N Kiyavash, N He
Advances in Neural Information Processing Systems 33, 2020
20*2020
Target-Based Temporal Difference Learning
D Lee, N He
International Conference on Machine Learning (ICML), PMLR 97:3713-3722, 2019
122019
Coupled variational bayes via optimization embedding
B Dai, H Dai, N He, W Liu, Z Liu, J Chen, L Xiao, L Song
Advances in Neural Information Processing Systems (NeurIPS), 9690-9700, 2018
122018
Smoothed dual embedding control
B Dai, A Shaw, L Li, L Xiao, N He, J Chen, L Song
NIPS Deep Reinforcement Learning Symposium, 2017
122017
Exponential Family Estimation via Adversarial Dynamics Embedding
B Dai, Z Liu, H Dai, N He, A Gretton, L Song, D Schuurmans
Advances in Neural Information Processing Systems (NeurIPS), 10977--10988, 2019
11*2019
Quadratic decomposable submodular function minimization
P Li, N He, O Milenkovic
Advances in Neural Information Processing Systems (NeurIPS), 1054-1064, 2018
112018
Point Process Estimation with Mirror Prox Algorithms
N He, Z Harchaoui, Y Wang, L Song
Applied Mathematics & Optimization 82 (3), 919-947, 2020
10*2020
Stochastic primal-dual Q-learning algorithm for discounted MDPs
D Lee, N He
2019 American Control Conference (ACC), 4897-4902, 2019
10*2019
Kernel exponential family estimation via doubly dual embedding
B Dai, H Dai, A Gretton, L Song, D Schuurmans, N He
Proceedings of Machine Learning Research, PMLR 89:2321-2330, 2019
92019
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Articles 1–20