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Niao He
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Year
Stochastic alternating direction method of multipliers
H Ouyang, N He, L Tran, A Gray
International conference on machine learning, 80-88, 2013
3592013
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
2752018
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 27, 2014
2542014
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
1672020
Time-sensitive recommendation from recurrent user activities
N Du, Y Wang, N He, J Sun, L Song
Advances in neural information processing systems 28, 2015
1652015
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
Artificial Intelligence and Statistics, 1458-1467, 2017
156*2017
Stochastic Generative Hashing
B Dai, R Guo, S Kumar, N He, L Song
International Conference on Machine Learning, PMLR 70:913-922, 2017
1332017
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
922020
Provable Bayesian inference via particle mirror descent
B Dai, N He, H Dai, L Song
Artificial Intelligence and Statistics, 985-994, 2016
75*2016
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Y Hu, S Zhang, X Chen, N He
Advances in Neural Information Processing Systems 33, 2020
73*2020
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
662020
Online learning for multivariate Hawkes processes
Y Yang, J Etesami, N He, N Kiyavash
Advances in Neural Information Processing Systems 30, 2017
662017
On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization
S Zhang, N He
arXiv preprint arXiv:1806.04781, 2018
612018
The complexity of nonconvex-strongly-concave minimax optimization
S Zhang, J Yang, C Guzmán, N Kiyavash, N He
Uncertainty in Artificial Intelligence, 482-492, 2021
592021
Mirror prox algorithm for multi-term composite minimization and semi-separable problems
N He, A Juditsky, A Nemirovski
Computational Optimization and Applications 61, 275-319, 2015
54*2015
A catalyst framework for minimax optimization
J Yang, S Zhang, N Kiyavash, N He
Advances in Neural Information Processing Systems 33, 2020
532020
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
532019
Faster single-loop algorithms for minimax optimization without strong concavity
J Yang, A Orvieto, A Lucchi, N He
International Conference on Artificial Intelligence and Statistics, 5485-5517, 2022
482022
Boosting the Actor with Dual Critic
B Dai, A Shaw, N He, L Li, L Song
International Conference on Learning Representations, 2017
432017
Target-Based Temporal Difference Learning
D Lee, N He
International Conference on Machine Learning (ICML), PMLR 97:3713-3722, 2019
402019
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