Courant Institute

Research Output 1953 2020

Filter
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

Entropy
Experiments

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

Rational functions
Learning algorithms
Entropy
Neural networks
Processing

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

Unsupervised learning
Pixels
Image classification

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

Graphics processing unit
Hardware
Derivatives
Experiments

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

Supervised learning
Reinforcement learning
Decision making
Experiments

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

Deep neural networks

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

Neural networks
Multilayer neural networks
Learning systems
Interpolation

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 Estrach, J., Jan 1 2018, In : CEUR Workshop Proceedings. 2282

Research output: Contribution to journalConference article

Game theory
Planning
Communication

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

Derivatives
Reconstruction (structural)
Surface reconstruction

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

Electric sparks

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

Traffic congestion
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

Supervised learning
Hamiltonians
Discriminators
Labels

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

Derivatives
Function evaluation
Global optimization
Logistics
Costs

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

Time series

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

Simulators
Ecology
Statistical Models

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

Approximation algorithms
Computer vision
Learning systems
Earth (planet)
Statistics

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

Learning algorithms
Byproducts
Transducers

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

Hilbert spaces
Supervised learning
Banach spaces

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

Labels
Image classification
Reinforcement learning

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

Extrapolation
Uncertainty

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

Derivatives
Neural networks

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

Computer systems programming
Computer programming languages
Costs

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

Markov processes
Uncertainty
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

Learning systems

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

Online Learning
Auctions
Regret
Stochastic models
Stochastic Model

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

Community Detection
Semidefinite Program
Synchronization
Polynomials
Heuristics

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

Mathematical operators

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

Algebra
Interpolation
Deep learning

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

Time Series Prediction
Online Learning
Time series
Random processes
Non-stationary Time Series
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

Interpolation

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

Kernel Methods
Basis Functions
kernel
Data storage equipment
Large Data Sets

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

Computer systems programming
Factorization
Sampling

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

Exponential Family
Latent Variable Models
Latent Variables
Black Box
Large Data Sets

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

Sensors
Unmanned aerial vehicles (UAV)
Dynamical systems
Degradation

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

Ants
Deception
Physical Phenomena
Biological Models
Biomimetics

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

Websites
UNIX

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

Extrapolation
Polynomials
Engineers
Experiments

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

Population distribution
Statistical Models

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., Jan 1 2015, In : Computer Communication Review. 44, 4, p. 395-406 12 p.

Research output: Contribution to journalConference article

Software defined networking
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

Bayesian Nonparametrics
Recommendation System
Recommender systems
Factorization
Siméon Denis Poisson

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

Black Box
Gradient
Latent Variable Models
Model
Sampling

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

Extrapolation
Model structures
Intelligent systems
Interpolation
Textures

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

Combinatorial optimization
Integer programming
Linear programming

Student-t processes as alternatives to Gaussian processes

Shah, A., Wilson, A. G. & Ghahramani, Z., Jan 1 2014, In : Journal of Machine Learning Research. 33, p. 877-885 9 p.

Research output: Contribution to journalConference article

Gaussian Process
Students
Alternatives
Predictive Distribution
Gaussian Model
2013

Analysis of car crash simulation data with nonlinear machine learning methods

Bohn, B., Garcke, J., Iza-Teran, R., Paprotny, A., Peherstorfer, B., Schepsmeier, U. & Thole, C. A., Jan 1 2013, In : Procedia Computer Science. 18, p. 621-630 10 p.

Research output: Contribution to journalConference article

Learning systems
Railroad cars
Product development
Engineers
Computer simulation

Dynamic pattern detection with temporal consistency and connectivity constraints

Speakman, S., Zhang, Y. & Neill, D., Dec 1 2013, In : Proceedings - IEEE International Conference on Data Mining, ICDM. p. 697-706 10 p., 6729554.

Research output: Contribution to journalConference article

Statistics
Water distribution systems
Set theory
Impurities
Sensors
2012

Semi-coarsening in space and time for the hierarchical transformation multigrid method

Peherstorfer, B. & Bungartz, H. J., Jan 1 2012, In : Procedia Computer Science. 9, p. 2000-2003 4 p.

Research output: Contribution to journalConference article

Coarsening
2003

A nonsmooth, nonconvex optimization approach to Robust Stabilization by static output feedback and Low-order controllers

Burke, J. V., Lewis, A. S. & Overton, M., Jan 1 2003, In : IFAC Proceedings Volumes (IFAC-PapersOnline). 36, 11, p. 175-181 7 p.

Research output: Contribution to journalConference article

Stabilization
Feedback
Controllers
Flutter (aerodynamics)
Aircraft
2001

Quantum walks on graphs

Aharonov, D., Ambainis, A., Kempe, J. & Vazirani, U., Jan 1 2001, In : Conference Proceedings of the Annual ACM Symposium on Theory of Computing. p. 50-59 10 p.

Research output: Contribution to journalConference article