Courant Institute

Research Output

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Conference article
2018

Algorithms and theory for multiple-source adaptation

Hoffman, J., Mohri, M. & Zhang, N., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8246-8256 11 p.

Research output: Contribution to journalConference article

Efficient gradient computation for structured output learning with rational and tropical losses

Cortes, C., Kuznetsov, V., Mohri, M., Storcheus, D. & Yang, S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6810-6821 12 p.

Research output: Contribution to journalConference article

GloMO: Unsupervised learning of transferable relational graphs

Yang, Z., Zhao, J., Dhingra, B., He, K., Cohen, W. W., Salakhutdinov, R. & LeCun, Y., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8950-8961 12 p.

Research output: Contribution to journalConference article

Gpytorch: Blackbox matrix-matrix Gaussian process inference with GPU acceleration

Gardner, J. R., Pleiss, G., Bindel, D., Weinberger, K. Q. & Wilson, A. G., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 7576-7586 11 p.

Research output: Contribution to journalConference article

Loss functions for multiset prediction

Welleck, S., Yao, Z., Gai, Y., Mao, J., Zhang, Z. & Cho, K., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 5783-5792 10 p.

Research output: Contribution to journalConference article

Loss surfaces, mode connectivity, and fast ensembling of DNNs

Garipov, T., Izmailov, P., Podoprikhin, D., Vetrov, D. & Wilson, A. G., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8789-8798 10 p.

Research output: Contribution to journalConference article

Parameters as interacting particles: Long time convergence and asymptotic error scaling of neural networks

Rotskoff, G. M. & Vanden Eijnden, E., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 7146-7155 10 p.

Research output: Contribution to journalConference article

Policy regret in repeated games

Arora, R., Dinitz, M., Marinov, T. V. & Mohri, M., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6732-6741 10 p.

Research output: Contribution to journalConference article

PommerMan: A multi-agent playground

Resnick, C., Eldridge, W., Ha, D., Britz, D., Foerster, J., Togelius, J., Cho, K. & Bruna, J., Jan 1 2018, In : CEUR Workshop Proceedings. 2282

Research output: Contribution to journalConference article

Scaling Gaussian process regression with derivatives

Eriksson, D., Lee, E. H., Dong, K., Bindel, D. & Wilson, A. G., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6867-6877 11 p.

Research output: Contribution to journalConference article

Scientific data analysis using data-intensive scalable computing: The SciDISC project

Valduriez, P., Mattoso, M., Akbarinia, R., Borges, H., Camata, J., Coutinho, A., Gaspar, D., Lemus, N., Liu, J., Lustosa, H., Masseglia, F., Silva, F. N. D., Silva, V., Souza, R., Ocaña, K., Ogasawara, E., Oliveira, D. D., Pacitti, E., Porto, F. & Shasha, D., Jan 1 2018, In : CEUR Workshop Proceedings. 2170, p. 1-8 8 p.

Research output: Contribution to journalConference article

Urban traffic congestion mapping using bus mobility data

Iyer, S. R., Boxer, K. & Subramanian, L., Jan 1 2018, In : CEUR Workshop Proceedings. 2227, p. 7-13 7 p.

Research output: Contribution to journalConference article

2017

Bayesian GAN

Saatchi, Y. & Wilson, A. G., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3623-3632 10 p.

Research output: Contribution to journalConference article

Bayesian optimization with gradients

Wu, J., Poloczek, M., Wilson, A. G. & Frazier, P. I., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5268-5279 12 p.

Research output: Contribution to journalConference article

Discriminative state-space models

Kuznetsov, V. & Mohri, M., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5672-5680 9 p.

Research output: Contribution to journalConference article

Field-aligned online surface reconstruction

Tarini, M., Jakob, W., Kazhdan, M., Gumhold, S. & Panozzo, D., Jan 1 2017, In : ACM Transactions on Graphics. 36, 4, 77.

Research output: Contribution to journalConference article

Hierarchical implicit models and likelihood-free variational inference

Tran, D., Ranganath, R. & Blei, D. M., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5524-5534 11 p.

Research output: Contribution to journalConference article

Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

Altschuler, J., Weed, J. & Rigollet, P., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 1965-1975 11 p.

Research output: Contribution to journalConference article

Online learning with transductive regret

Mohri, M. & Yang, S., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5215-5225 11 p.

Research output: Contribution to journalConference article

Parameter-free online learning via model selection

Foster, D. J., Kale, S., Mohri, M. & Sridharan, K., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6021-6031 11 p.

Research output: Contribution to journalConference article

Position-based tensegrity design

Pietroni, N., Tarini, M., Vaxman, A., Panozzo, D. & Cignoni, P., Nov 20 2017, In : ACM Transactions on Graphics. 36, 6, a172.

Research output: Contribution to journalConference article

Saliency-based sequential image attention with multiset prediction

Welleck, S., Mao, J., Cho, K. & Zhang, Z., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5174-5184 11 p.

Research output: Contribution to journalConference article

Scalable lévy process priors for spectral kernel learning

Jang, P. A., Loeb, A. E., Davidow, M. B. & Wilson, A. G., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3941-3950 10 p.

Research output: Contribution to journalConference article

Scalable log determinants for Gaussian process kernel learning

Dong, K., Eriksson, D., Nickisch, H., Bindel, D. & Wilson, A. G., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6328-6338 11 p.

Research output: Contribution to journalConference article

System programming in Rust: Beyond safety

Balasubramanian, A., Baranowski, M. S., Burtsev, A., Panda, A., Rakamarić, Z. & Ryzhyk, L., Sep 11 2017, In : Operating Systems Review (ACM). 51, 1, p. 94-99 6 p.

Research output: Contribution to journalConference article

Variational inference via χ upper bound minimization

Dieng, A. B., Tran, D., Ranganath, R., Paisley, J. & Blei, D. M., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 2733-2742 10 p.

Research output: Contribution to journalConference article

2016

A credit assignment compiler for joint prediction

Chang, K. W., He, H., Daumé, H., Langford, J. & Ross, S., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 1713-1721 9 p.

Research output: Contribution to journalConference article

Bijective maps from simplicial foliations

Campen, M., Silva, C. T. & Zorin, D., Jul 11 2016, In : ACM Transactions on Graphics. 35, 4, a74.

Research output: Contribution to journalConference article

MEsh arrangements for solid geometry

Zhou, Q., Grinspun, E., Zorin, D. & Jacobson, A., Jul 11 2016, In : ACM Transactions on Graphics. 35, 4, a39.

Research output: Contribution to journalConference article

Online learning in repeated auctions

Weed, J., Perchet, V. & Rigollet, P., Jun 6 2016, In : Journal of Machine Learning Research. 49, June, p. 1562-1583 22 p.

Research output: Contribution to journalConference article

On the low-rank approach for semidefinite programs arising in synchronization and community detection

Bandeira, A., Boumal, N. & Voroninski, V., Jun 6 2016, In : Journal of Machine Learning Research. 49, June, p. 361-382 22 p.

Research output: Contribution to journalConference article

Operator variational inference

Ranganath, R., Altosaar, J., Tran, D. & Blei, D. M., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 496-504 9 p.

Research output: Contribution to journalConference article

Stochastic variational deep kernel learning

Wilson, A. G., Hu, Z., Salakhutdinov, R. & Xing, E. P., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 2594-2602 9 p.

Research output: Contribution to journalConference article

Time series prediction and online learning

Kuznetsov, V. & Mohri, M., Jun 6 2016, In : Journal of Machine Learning Research. 49, June, p. 1190-1213 24 p.

Research output: Contribution to journalConference article

2015

A black-box method for parametric model order reduction

Geuss, M., Lohmann, B., Peherstorfer, B. & Willcox, K., Feb 1 2015, In : IFAC-PapersOnLine. 28, 1, p. 168-169 2 p.

Research output: Contribution to journalConference article

A la carte | learning fast kernels

Yang, Z., Smola, A. J., Song, L. & Wilson, A. G., Jan 1 2015, In : Journal of Machine Learning Research. 38, p. 1098-1106 9 p.

Research output: Contribution to journalConference article

An experimental study of the learnability of congestion control

Sivaraman, A., Winstein, K., Thaker, P. & Balakrishnan, H., Feb 25 2015, In : Computer Communication Review. 44, 4, p. 479-489 11 p.

Research output: Contribution to journalConference article

Automatic variational inference in Stan

Kucukelbir, A., Ranganath, R., Gelman, A. & Blei, D. M., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 568-576 9 p.

Research output: Contribution to journalConference article

Deep exponential families

Ranganath, R., Tang, L., Charlin, L. & Blei, D. L., Jan 1 2015, In : Journal of Machine Learning Research. 38, p. 762-771 10 p.

Research output: Contribution to journalConference article

Detecting and adapting to parameter changes for reduced models of dynamic data-driven application systems

Peherstorfer, B. & Willcox, K., Jan 1 2015, In : Procedia Computer Science. 51, 1, p. 2553-2562 10 p.

Research output: Contribution to journalConference article

Identity deception and game deterrence via signaling games

Casey, W., Memarmoshrefi, P., Kellner, A., Morales, J. A. & Mishra, B., Jan 1 2015, In : EAI International Conference on Bio-inspired Information and Communications Technologies (BICT).

Research output: Contribution to journalConference article

Mahimahi: A lightweight toolkit for reproducible web measurement

Netravali, R., Sivaraman, A., Winstein, K., Das, S., Goyal, A. & Balakrishnan, H., Feb 25 2015, In : Computer Communication Review. 44, 4, p. 129-130 2 p.

Research output: Contribution to journalConference article

The human kernel

Wilson, A. G., Dann, C., Lucas, C. G. & Xing, E. P., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2854-2862 9 p.

Research output: Contribution to journalConference article

The population posterior and Bayesian modeling on streams

McInerney, J., Ranganath, R. & Blei, D., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 1153-1161 9 p.

Research output: Contribution to journalConference article

Troubleshooting blackbox SDN control software with minimal causal sequences

Scott, C., Wundsam, A., Raghavan, B., Panda, A., Or, A., Lai, J., Huang, E., Liu, Z., El-Hassany, A., Whitlock, S., Acharya, H. B., Zarifis, K. & Shenker, S., Feb 25 2015, In : Computer Communication Review. 44, 4, p. 395-406 12 p.

Research output: Contribution to journalConference article

2014

Bayesian nonparametric poisson factorization for recommendation systems

Gopalan, P., Ruiz, F. J. R., Ranganath, R. & Blei, D. M., Jan 1 2014, In : Journal of Machine Learning Research. 33, p. 275-283 9 p.

Research output: Contribution to journalConference article

Black box variational inference

Ranganath, R., Gerrish, S. & Blei, D. M., Jan 1 2014, In : Journal of Machine Learning Research. 33, p. 814-822 9 p.

Research output: Contribution to journalConference article

Fast kernel learning for multidimensional pattern extrapolation

Wilson, A. G., Gilboa, E., Nehorai, A. & Cunningham, J. P., Jan 1 2014, In : Advances in Neural Information Processing Systems. 4, January, p. 3626-3634 9 p.

Research output: Contribution to journalConference article

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Dauphin, Y. N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S. & Bengio, Y., Jan 1 2014, In : Advances in Neural Information Processing Systems. 4, January, p. 2933-2941 9 p.

Research output: Contribution to journalConference article

Learning to search in branch-and-bound algorithms

He, H., Daumé, H. & Eisner, J., Jan 1 2014, In : Advances in Neural Information Processing Systems. 4, January, p. 3293-3301 9 p.

Research output: Contribution to journalConference article