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
2802013
Scalable kernel methods via doubly stochastic gradients
B Dai, B Xie, N He, Y Liang, A Raj, MF Balcan, L Song
arXiv preprint arXiv:1407.5599, 2014
2212014
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
1672018
Time-sensitive recommendation from recurrent user activities
N Du, Y Wang, N He, J Sun, L Song
Advances in Neural Information Processing Systems 28, 3492-3500, 2015
1292015
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
Artificial Intelligence and Statistics, 1458-1467, 2017
892017
Stochastic Generative Hashing
B Dai, R Guo, S Kumar, N He, L Song
International Conference on Machine Learning, PMLR 70:913-922, 2017
722017
Provable bayesian inference via particle mirror descent
B Dai, N He, H Dai, L Song
Artificial Intelligence and Statistics, 985-994, 2016
61*2016
Global convergence and variance-reduced optimization for a class of nonconvex-nonconcave minimax problems
J Yang, N Kiyavash, N He
Advances in Neural Information Processing Systems 33, 2020
562020
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
47*2015
Online learning for multivariate hawkes processes
Y Yang, J Etesami, N He, N Kiyavash
Proceedings of the 31st International Conference on Neural Information …, 2017
422017
On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization
S Zhang, N He
arXiv preprint arXiv:1806.04781, 2018
402018
Optimization for reinforcement learning: From a single agent to cooperative agents
D Lee, N He, P Kamalaruban, V Cevher
IEEE Signal Processing Magazine 37 (3), 123-135, 2020
372020
Boosting the Actor with Dual Critic
B Dai, A Shaw, N He, L Li, L Song
International Conference on Learning Representations, 2017
302017
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
262019
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
242018
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
232019
Target-Based Temporal Difference Learning
D Lee, N He
International Conference on Machine Learning (ICML), PMLR 97:3713-3722, 2019
222019
Learning from conditional distributions via dual kernel embeddings
B Dai, N He, Y Pan, B Boots, L Song
arXiv preprint arXiv:1607.04579, 2016
222016
Robust deep learning-based diagnosis of mixed faults in rotating machinery
S Chen, Y Meng, H Tang, Y Tian, N He, C Shao
IEEE/ASME Transactions on Mechatronics 25 (5), 2167-2176, 2020
192020
Stochastic primal-dual Q-learning algorithm for discounted MDPs
D Lee, N He
2019 american control conference (acc), 4897-4902, 2019
18*2019
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Articles 1–20