NIPS 2018 Proceedings
Advances in Neural Information Processing Systems 31 (NIPS 2018) The papers below appear in Advances in Neural Information Processing Systems 31 edited by S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett. They are proceedings from the conference, "Neural Information Processing Systems 2018." Efficient Algorithms for Non-convex Isotonic Regression through
NIPS 2017 Proceedings
Advances in Neural Information Processing Systems 30 (NIPS 2017) The papers below appear in Advances in Neural Information Processing Systems 30 edited by I. Guyon and U.V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett. They are proceedings from the conference, "Neural Information Processing Systems 2017." Wider and Deeper, Cheaper and Faster: Tensorized LST
NIPS 2015 Proceedings
Advances in Neural Information Processing Systems 28 (NIPS 2015) The papers below appear in Advances in Neural Information Processing Systems 28 edited by C. Cortes and N.D. Lawrence and D.D. Lee and M. Sugiyama and R. Garnett. They are proceedings from the conference, "Neural Information Processing Systems 2015." Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing Nihar Bhadr
Content-based recommendations with Poisson factorization
Content-based recommendations with Poisson factorization Prem Gopalan Department of Computer Science Princeton University Princeton, NJ 08540 pgopalan@cs.princeton.edu Laurent Charlin Department of Computer Science Columbia University New York, NY 10027 lcharlin@cs.columbia.edu David M. Blei Departments of Statistics & Computer Science Columbia University New York, NY 10027 david.blei@columbia.edu
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Training Very Deep Networks