| Stochastic alternating direction method of multipliers H Ouyang, N He, L Tran, A Gray International Conference on Machine Learning, 80-88, 2013 | 239 | 2013 |
| 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, 3041-3049, 2014 | 183 | 2014 |
| 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 | 113 | 2018 |
| Time-sensitive recommendation from recurrent user activities N Du, Y Wang, N He, J Sun, L Song Advances in Neural Information Processing Systems, 3492-3500, 2015 | 107 | 2015 |
| Learning from conditional distributions via dual embeddings B Dai, N He, Y Pan, B Boots, L Song International Conference on Artificial Intelligence and Statistics, PMLR 54 …, 2017 | 87* | 2017 |
| Provable bayesian inference via particle mirror descent B Dai, N He, H Dai, L Song Artificial Intelligence and Statistics, 985-994, 2016 | 51* | 2016 |
| Stochastic Generative Hashing B Dai, R Guo, S Kumar, N He, L Song International Conference on Machine Learning, PMLR 70:913-922, 2017 | 49 | 2017 |
| 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 | 36* | 2015 |
| Online learning for multivariate Hawkes processes Y Yang, J Etesami, N He, N Kiyavash Advances in Neural Information Processing Systems, 4937-4946, 2017 | 27 | 2017 |
| Boosting the Actor with Dual Critic B Dai, A Shaw, N He, L Li, L Song International Conference on Learning Representations, 2017 | 24 | 2017 |
| On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization S Zhang, N He arXiv preprint arXiv:1806.04781, 2018 | 22 | 2018 |
| Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems J Yang, N Kiyavash, N He Advances in Neural Information Processing Systems 33, 2020 | 20* | 2020 |
| Target-Based Temporal Difference Learning D Lee, N He International Conference on Machine Learning (ICML), PMLR 97:3713-3722, 2019 | 12 | 2019 |
| 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 | 12 | 2018 |
| Smoothed dual embedding control B Dai, A Shaw, L Li, L Xiao, N He, J Chen, L Song NIPS Deep Reinforcement Learning Symposium, 2017 | 12 | 2017 |
| 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 | 11* | 2019 |
| Quadratic decomposable submodular function minimization P Li, N He, O Milenkovic Advances in Neural Information Processing Systems (NeurIPS), 1054-1064, 2018 | 11 | 2018 |
| Point Process Estimation with Mirror Prox Algorithms N He, Z Harchaoui, Y Wang, L Song Applied Mathematics & Optimization 82 (3), 919-947, 2020 | 10* | 2020 |
| Stochastic primal-dual Q-learning algorithm for discounted MDPs D Lee, N He 2019 American Control Conference (ACC), 4897-4902, 2019 | 10* | 2019 |
| 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 | 9 | 2019 |
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
