If you made any changes in Pure, your changes will be visible here soon.

Research Output 2013 2019

  • 7 Conference article
  • 4 Conference contribution
  • 4 Paper
  • 2 Article
Filter
Conference article
2018

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

Backpropagation

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

Sampling
Experiments

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

Supervised learning
Convex optimization
Cones
Experiments
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

Learning algorithms
Hilbert spaces
2015

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

Mirrors
Composite materials
Mathematical operators

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

Convex optimization
Recommender systems
Web services
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

Neural networks
Convex optimization
Hilbert spaces
Convolution