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On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization

Siqi Zhang, Niao He
ArXiv Preprint arXiv:1806.04781, 2018.

Quadratic Decomposable Submodular Function Minimization

Pan Li, Niao He, Olgica Milenkovic
ArXiv Preprint arXiv:1806.09842, 2018.

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song
Conference Paper IInternational Conference on Machine Learning (ICML), 2018.

Dynamic Programming for Stochastic Control Systems with Jointly Discrete and Continuous State-Spaces

Donghwan Lee, Niao He, Jianghai Hu
ArXiv Preprint arXiv:1803.08876, 2018.

Boosting The Actor With Dual Critic

Bo Dai, Albert Shaw, Niao He, Lihong Li, and Le Song
Conference Paper International Conference on Learning Representations (ICLR), 2018.

Online Learning for Multivariate Hawkes Processes

Yingxiang Yang, Jalal Etsami, Niao He, and Negar Kiyavash
Conference Paper Neural Information Processing Systems (NIPS), 2017.

Smoothed Dual Embedding Control

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song
Conference Paper NIPS Deep Reinforcement Learning Symposium, 2017.

Stochastic Generative Hashing

Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song
Conference Paper International Conference on Machine Learning (ICML), 2017.

Learning from Conditional Distributions via Dual Kernel Embeddings

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song
Conference Paper Artificial Intelligence and Statistics (AISTATS), 2017.

Provable Bayesian Inference via Particle Mirror Descent

Bo Dai, Niao He, Hanjun Dai, and Le Song
Conference Paper Artificial Intelligence and Statistics (AISTATS), 2016.

Fast Optimization for Non-Lipschitz Poisson Likelihood Models

Niao He, Zaid Harchaoui, Yichen Wang, and Le Song
ArXiv Preprint arXiv:1608.01264, 2016.

Saddle Point Techniques in Convex Composite and Error-in-Measurement Optimization

Niao He
PhD ThesisGeorgia Institute of Technology, November 2015.

Mirror Prox Algorithm for Multi-Term Composite Minimization and Semi-Separable Problems

Niao He, Anatoli Juditsky, and Arkadi Nemirovski
Journal PaperJournal of Computational Optimization and Applications, 61(2), 275-319, 2015.

Semi-proximal Mirror-Prox for Nonsmooth Composite Minimization

Niao He and Zaid Harchaoui
Conference PaperNeural Information Processing Systems (NIPS), 2015.

Time-sensitive Recommendation From Recurrent User Activities

Nan Du, Yichen Wang, Niao He, and Le Song
Conference PaperNeural Information Processing Systems (NIPS), 2015.

Stochastic Semi-Proximal Mirror Prox

Niao He and Zaid Harchaoui
Workshop PaperNIPS 8th International Workshop on Optimization for Machine Learning, 2015.

Scalable Kernel Methods via Doubly Stochastic Gradients

Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, and Le Song
Conference PaperNeural Information Processing Systems (NIPS), 2014.

Stochastic Alternating Direction Method of Multipliers

Hua Ouyang, Niao He, Long Tran, and Alexander Gray
Conference Paper International Conference on Machine Learning (ICML), 2013.