Matthew D. Hoffman

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Dawen LiangResearch Scientist, Netflix Inc.Verified email at netflix.com
Bob CarpenterFlatiron Institute, Center for Computational MathematicsVerified email at flatironinstitute.org
Marcus A BrubakerAssistant Professor, York University; Faculty Affiliate, Vector InstituteVerified email at yorku.ca
Daniel LeeGenerableVerified email at alum.mit.edu
Gautham J. MysoreSenior Principal Scientist, Adobe ResearchVerified email at adobe.com
Rif A. SaurousGoogleVerified email at google.com
Dustin TranResearch Scientist, GoogleVerified email at google.com
Matthew J. JohnsonGoogle BrainVerified email at csail.mit.edu
Benjamin GoodrichColumbia UniversityVerified email at columbia.edu
Rahul G. KrishnanUniversity of TorontoVerified email at cs.toronto.edu
Stephan MandtAssociate Professor, University of California, IrvineVerified email at uci.edu
John PaisleyColumbia UniversityVerified email at columbia.edu
Chong WangAppleVerified email at cs.princeton.edu
Srinivas VasudevanGoogleVerified email at google.com
Joshua V. DillonGoogleVerified email at google.com
Ian LangmoreGoogleVerified email at google.com
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Brian PattonGoogle ResearchVerified email at google.com

Matthew D. Hoffman

Research Scientist, Google Research

Verified email at google.com - Homepage

Machine Learning Statistics Audio


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Stan: a probabilistic programming language B Carpenter, A Gelman, M Hoffman, D Lee, B Goodrich, M Betancourt, ... Journal of Statistical Software, 2015	6502	2015
The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. MD Hoffman, A Gelman J. Mach. Learn. Res. 15 (1), 1593-1623, 2014	4296	2014
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research, 2013	2700	2013
Online learning for latent dirichlet allocation M Hoffman, DM Blei, F Bach Advances in Neural Information Processing Systems 23, 856-864, 2010	2087	2010
Variational autoencoders for collaborative filtering D Liang, RG Krishnan, MD Hoffman, T Jebara Proceedings of the 2018 World Wide Web Conference, 689-698, 2018	893	2018
Music transformer CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, I Simon, C Hawthorne, ... Advances in Neural Processing Systems 3, 4, 2018	607	2018
Learning Activation Functions to Improve Deep Neural Networks F Agostinelli, M Hoffman, P Sadowski, P Baldi arXiv preprint arXiv:1412.6830, 2014	591	2014
Stochastic Gradient Descent as Approximate Bayesian Inference S Mandt, MD Hoffman, DM Blei arXiv preprint arXiv:1704.04289, 2017	539	2017
Underspecification presents challenges for credibility in modern machine learning A D’Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... arXiv preprint arXiv:2011.03395 1 (3), 2020	469	2020
Tensorflow distributions JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ... arXiv preprint arXiv:1711.10604, 2017	457	2017
ELBO surgery: yet another way to carve up the variational evidence lower bound MD Hoffman, MJ Johnson NIPS 2016 Workshop on Advances in Approximate Bayesian Inference, 2016	330	2016
Deep Probabilistic Programming D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei arXiv preprint arXiv:1701.03757, 2017	227	2017
A Unified View of Static and Dynamic Source Separation Using Non-Negative Factorizations P Smaragdis, C Févotte, GJ Mysore, N Mohammadiha, M Hoffman IEEE Signal Processing Magazine, 2014	213*	2014
Bayesian nonparametric matrix factorization for recorded music M Hoffman, D Blei, P Cook Proc. ICML, 439-446, 2010	206	2010
What are Bayesian neural network posteriors really like? P Izmailov, S Vikram, MD Hoffman, AGG Wilson International conference on machine learning, 4629-4640, 2021	199	2021
Sparse stochastic inference for latent dirichlet allocation D Mimno, M Hoffman, D Blei arXiv preprint arXiv:1206.6425, 2012	187	2012
Nonparametric variational inference S Gershman, M Hoffman, D Blei arXiv preprint arXiv:1206.4665, 2012	178	2012
Structured stochastic variational inference MD Hoffman, DM Blei Artificial Intelligence and Statistics, 2015	169*	2015
A variational analysis of stochastic gradient algorithms S Mandt, M Hoffman, D Blei International Conference on Machine Learning, 354-363, 2016	142	2016
Patterns and Sequences: Interactive Exploration of Clickstreams to Understand Common Visitor Paths Z Liu, Y Wang, M Dontcheva, M Hoffman, S Walker, A Wilson IEEE Transactions on Visualization & Computer Graphics, 1-1, 2016	131	2016

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