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Niao He
Niao He
在 inf.ethz.ch 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Stochastic alternating direction method of multipliers
H Ouyang, N He, L Tran, A Gray
International conference on machine learning, 80-88, 2013
3522013
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
2612018
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
2492014
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
1592015
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
1552020
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
Artificial Intelligence and Statistics, 1458-1467, 2017
151*2017
Stochastic Generative Hashing
B Dai, R Guo, S Kumar, N He, L Song
International Conference on Machine Learning, PMLR 70:913-922, 2017
1252017
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
802020
Provable Bayesian inference via particle mirror descent
B Dai, N He, H Dai, L Song
Artificial Intelligence and Statistics, 985-994, 2016
682016
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
66*2020
Online learning for multivariate hawkes processes
Y Yang, J Etesami, N He, N Kiyavash
Advances in Neural Information Processing Systems 30, 2017
652017
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
592020
On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization
S Zhang, N He
arXiv preprint arXiv:1806.04781, 2018
582018
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
57*2015
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
562021
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
A catalyst framework for minimax optimization
J Yang, S Zhang, N Kiyavash, N He
Advances in Neural Information Processing Systems 33, 2020
492020
Boosting the Actor with Dual Critic
B Dai, A Shaw, N He, L Li, L Song
International Conference on Learning Representations, 2017
432017
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
412022
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
402019
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