Niao He

Most-cited papers

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai, Albert Eaton Shaw, Lihong Li, Lin Xiao +4 more
2017International Conference on Machine Learning310 citations
Semantic Scholar
Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, L. Tran, Alexander G. Gray
2013International Conference on Machine Learning308 citations
Semantic Scholar
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He, Ying-Yu Liang +3 more
2014Neural Information Processing Systems238 citations
Semantic Scholar
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Jun-Chi Yang, N. Kiyavash, Niao He
2020Neural Information Processing Systems139 citations
Semantic Scholar
Time-Sensitive Recommendation From Recurrent User Activities
Nan Du, Yichen Wang, Niao He, Ji-Meng Sun +1 more
2015Neural Information Processing Systems138 citations
Semantic Scholar
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan, Byron Boots +1 more
2016International Conference on Artificial Intelligence and Statistics137 citations
Semantic Scholar
Stochastic Generative Hashing
Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He +1 more
2017International Conference on Machine Learning116 citations
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Optimization for Reinforcement Learning: From a single agent to cooperative agents
Dong-hwan Lee, Niao He, P. Kamalaruban, V. Cevher
2019IEEE Signal Processing Magazine110 citations Open access
Semantic Scholar
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
Jun-Chi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He
2021International Conference on Artificial Intelligence and Statistics91 citations
Semantic Scholar
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
Jun-Chi Yang, N. Kiyavash, Niao He
2020arXiv.org88 citations
Semantic Scholar
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
Siqi Zhang, Jun-Chi Yang, Cristóbal Guzmán, N. Kiyavash +1 more
2021Conference on Uncertainty in Artificial Intelligence85 citations
Semantic Scholar
On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization
Siqi Zhang, Niao He
201880 citations
Semantic Scholar
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai, Niao He, Han-Jun Dai, Le Song
2015International Conference on Artificial Intelligence and Statistics80 citations
Semantic Scholar
Robust Deep Learning-Based Diagnosis of Mixed Faults in Rotating Machinery
Siyuan Chen, Yu-Quan Meng, Haichuan Tang, Yin Tian +2 more
2020IEEE/ASME transactions on mechatronics73 citations Open access
Semantic Scholar
A Catalyst Framework for Minimax Optimization
Jun-Chi Yang, Siqi Zhang, N. Kiyavash, Niao He
2020Neural Information Processing Systems73 citations
Semantic Scholar
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu, Siqi Zhang, Xin Chen, Niao He
2020Neural Information Processing Systems70 citations
Semantic Scholar
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
Ilyas Fatkhullin, Anas Barakat, A. Kireeva, Niao He
2023International Conference on Machine Learning69 citations Open access
Semantic Scholar
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai, Z. Liu, Han-Jun Dai, Niao He +3 more
2019Neural Information Processing Systems58 citations
Semantic Scholar
Online Learning for Multivariate Hawkes Processes
Yingxiang Yang, Jalal Etesami, Niao He, N. Kiyavash
2017Neural Information Processing Systems56 citations
Semantic Scholar
Mirror Prox algorithm for multi-term composite minimization and semi-separable problems
Niao He, A. Juditsky, A. Nemirovski
2013Computational optimization and applications54 citations Open access
Semantic Scholar
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms
Donghwan Lee, Niao He
2020Neural Information Processing Systems49 citations
Semantic Scholar
Boosting the Actor with Dual Critic
Bo Dai, Albert Eaton Shaw, Niao He, Lihong Li +1 more
2017International Conference on Learning Representations47 citations
Semantic Scholar
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
Yifan Hu, Xin Chen, Niao He
2019SIAM Journal on Optimization43 citations Open access
Semantic Scholar
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
Yifan Hu, Xin Chen, Niao He
2021Neural Information Processing Systems41 citations
Semantic Scholar
Target-Based Temporal Difference Learning
Donghwan Lee, Niao He
2019International Conference on Machine Learning41 citations
Semantic Scholar
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
K. Thekumparampil, Niao He, Sewoong Oh
2022International Conference on Artificial Intelligence and Statistics39 citations
Semantic Scholar
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Batuhan Yardim, Semih Cayci, M. Geist, Niao He
2022International Conference on Machine Learning39 citations Open access
Semantic Scholar
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
Semih Cayci, Niao He, R. Srikant
2021arXiv.org38 citations
Semantic Scholar
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
Ilyas Fatkhullin, Jalal Etesami, Niao He, N. Kiyavash
2022Neural Information Processing Systems36 citations
Semantic Scholar
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Han-Jun Dai, A. Gretton, Le Song +2 more
2018International Conference on Artificial Intelligence and Statistics36 citations
Semantic Scholar
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
Jun-Chi Yang, Xiang Li, Ilyas Fatkhullin, Niao He
2023Neural Information Processing Systems34 citations Open access
Semantic Scholar
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
Jun-Chi Yang, Xiang Li, Niao He
2022Neural Information Processing Systems29 citations Open access
Semantic Scholar
A Discrete-Time Switching System Analysis of Q-Learning
Donghwan Lee, Jianghai Hu, Niao He
2021SIAM Journal of Control and Optimization29 citations Open access
Semantic Scholar
Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm
Semih Cayci, Niao He, R. Srikant
2022Trans. Mach. Learn. Res.28 citations Open access
Semantic Scholar
A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms
Dong-hwan Lee, Niao He
2019arXiv.org28 citations
Semantic Scholar
Coupled Variational Bayes via Optimization Embedding
Bo Dai, Han-Jun Dai, Niao He, Wei-Yang Liu +4 more
2018Neural Information Processing Systems27 citations
Semantic Scholar
A Natural Actor-Critic Framework for Zero-Sum Markov Games
Ahmet Alacaoglu, Luca Viano, Niao He, V. Cevher
2022International Conference on Machine Learning26 citations
Semantic Scholar
Quadratic Decomposable Submodular Function Minimization: Theory and Practice
Pan Li, Niao He, O. Milenkovic
2019Journal of machine learning research26 citations
Semantic Scholar
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang, K. Thekumparampil, Sewoong Oh, Niao He
2022Neural Information Processing Systems25 citations Open access
Semantic Scholar
Biased Stochastic Gradient Descent for Conditional Stochastic Optimization
Yifan Hu, Siqi Zhang, Xin Chen, Niao He
2020arXiv.org25 citations
Semantic Scholar
Smoothed Dual Embedding Control
Bo Dai, Albert Eaton Shaw, Lihong Li, Lin Xiao +3 more
2017arXiv.org25 citations
Semantic Scholar
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
Anas Barakat, Ilyas Fatkhullin, Niao He
2023International Conference on Machine Learning23 citations Open access
Semantic Scholar
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
Saeed Masiha, Saber Salehkaleybar, Niao He, N. Kiyavash +1 more
2022Neural Information Processing Systems23 citations
Semantic Scholar
Learning from Conditional Distributions via Dual Kernel Embeddings
Bo Dai, Niao He, Yunpeng Pan, Byron Boots +1 more
2016arXiv.org21 citations
Semantic Scholar
Stochastic ADMM for Nonsmooth Optimization
Hua Ouyang, Niao He, Alexander G. Gray
2012arXiv.org21 citations
Semantic Scholar
Periodic Q-Learning
Dong-hwan Lee, Niao He
2020Conference on Learning for Dynamics & Control20 citations
Semantic Scholar
Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
Semih Cayci, Niao He, R. Srikant
2021SIAM Journal on Optimization19 citations Open access
Semantic Scholar
The Mean-Squared Error of Double Q-Learning
W. Weng, Harsh Gupta, Niao He, Lei Ying +1 more
2020Neural Information Processing Systems19 citations
Semantic Scholar
Finite-Time Analysis of Natural Actor-Critic for POMDPs
Semih Cayci, Niao He, R. Srikant
2022SIAM Journal on Mathematics of Data Science18 citations Open access
Semantic Scholar
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li, Jun-Chi Yang, Niao He
2022International Conference on Learning Representations18 citations Open access
Semantic Scholar