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Research Output

  • 7 Conference article
  • 5 Conference contribution
  • 3 Paper
  • 2 Article
2019

Dynamic programming for POMDP with jointly discrete and continuous state-spaces

Lee, D., He, N. & Hu, J., Jul 2019, 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., p. 1250-1255 6 p. 8815313. (Proceedings of the American Control Conference; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Point Process Estimation with Mirror Prox Algorithms

He, N., Harchaoui, Z., Wang, Y. & Song, L., Jan 1 2019, (Accepted/In press) In : Applied Mathematics and Optimization.

Research output: Contribution to journalArticle

Stochastic primal-dual Q-learning algorithm for discounted mdps

Lee, D. & He, N., Jul 2019, 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., p. 4897-4902 6 p. 8815275. (Proceedings of the American Control Conference; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Target-based temporal-difference learning

Lee, D. & He, N., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 6619-6628 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

Boosting the actor with dual critic

Dai, B., Shaw, A., He, N., Li, L. & Song, L., Jan 1 2018.

Research output: Contribution to conferencePaper

Coupled variational bayes via optimization embedding

Dai, B., Dai, H., He, N., Liu, W., Liu, Z., Chen, J., Xiao, L. & Song, L., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 9690-9700 11 p.

Research output: Contribution to journalConference article

Predictive approximate Bayesian computation via saddle points

Yang, Y., Dai, B., Kiyavash, N. & He, N., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 10260-10270 11 p.

Research output: Contribution to journalConference article

Quadratic decomposable submodular function minimization

Li, P., He, N. & Milenkovic, O., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 1054-1064 11 p.

Research output: Contribution to journalConference article

SBEED: Convergent reinforcement learning with nonlinear function approximation

Dai, B., Shaw, A., Li, L., Xiao, L., He, N., Liu, Z., Chen, J. & Song, L., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 1809-1818 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

Online learning for multivariate hawkes processes

Yang, Y., Etesami, J., He, N. & Kiyavash, N., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 4938-4947 10 p.

Research output: Contribution to journalConference article

Stochastic generative hashing

Dai, B., Guo, R., Kumar, S., He, N. & Song, L., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 1522-1538 17 p. (34th International Conference on Machine Learning, ICML 2017; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Provable Bayesian inference via particle mirror descent

Dai, B., He, N., Dai, H. & Song, L., Jan 1 2016, p. 985-994. 10 p.

Research output: Contribution to conferencePaper

2015

Mirror Prox algorithm for multi-term composite minimization and semi-separable problems

He, N., Juditsky, A. & Nemirovski, A., Jun 26 2015, In : Computational Optimization and Applications. 61, 2, p. 275-319 45 p., 9723.

Research output: Contribution to journalArticle

Semi-Proximal Mirror-Prox for nonsmooth composite minimization

He, N. & Harchaoui, Z., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 3411-3419 9 p.

Research output: Contribution to journalConference article

Time-sensitive recommendation from recurrent user activities

Du, N., Wang, Y., He, N. & Song, L., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 3492-3500 9 p.

Research output: Contribution to journalConference article

2014

Scalable kernel methods via doubly stochastic gradients

Dai, B., Xie, B., He, N., Liang, Y., Raj, A., Balcan, M. F. & Song, L., Jan 1 2014, In : Advances in Neural Information Processing Systems. 4, January, p. 3041-3049 9 p.

Research output: Contribution to journalConference article

2013

Stochastic alternating direction method of multipliers

Ouyang, H., He, N., Tran, L. Q. & Gray, A., Jan 1 2013, p. 80-88. 9 p.

Research output: Contribution to conferencePaper