Matthew D. Hoffman
Matthew D. Hoffman
Research Scientist, Google Research
Verified email at google.com - Homepage
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
42132015
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
26212014
Stochastic variational inference.
MD Hoffman, DM Blei, C Wang, J Paisley
Journal of Machine Learning Research 14 (5), 2013
20322013
Online learning for latent dirichlet allocation
M Hoffman, DM Blei, F Bach
Advances in Neural Information Processing Systems 23, 856-864, 2010
17442010
Variational autoencoders for collaborative filtering
D Liang, RG Krishnan, MD Hoffman, T Jebara
Proceedings of the 2018 World Wide Web Conference, 689-698, 2018
3942018
Learning Activation Functions to Improve Deep Neural Networks
F Agostinelli, M Hoffman, P Sadowski, P Baldi
arXiv preprint arXiv:1412.6830, 2014
3712014
Stochastic Gradient Descent as Approximate Bayesian Inference
S Mandt, MD Hoffman, DM Blei
arXiv preprint arXiv:1704.04289, 2017
3572017
Music transformer
CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, I Simon, C Hawthorne, ...
Advances in Neural Processing Systems 3, 4, 2018
2372018
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
2092016
Bayesian nonparametric matrix factorization for recorded music
M Hoffman, D Blei, P Cook
Proc. ICML, 439-446, 2010
1912010
Tensorflow distributions
JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ...
arXiv preprint arXiv:1711.10604, 2017
1862017
Deep Probabilistic Programming
D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei
arXiv preprint arXiv:1701.03757, 2017
1762017
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
175*2014
Sparse stochastic inference for latent dirichlet allocation
D Mimno, M Hoffman, D Blei
arXiv preprint arXiv:1206.6425, 2012
1662012
Nonparametric variational inference
S Gershman, M Hoffman, D Blei
arXiv preprint arXiv:1206.4665, 2012
1452012
Structured stochastic variational inference
MD Hoffman, DM Blei
Artificial Intelligence and Statistics, 2015
117*2015
Easy As CBA: A Simple Probabilistic Model for Tagging Music.
MD Hoffman, DM Blei, PR Cook
ISMIR 9, 369-374, 2009
1162009
A variational analysis of stochastic gradient algorithms
S Mandt, M Hoffman, D Blei
International Conference on Machine Learning, 354-363, 2016
1152016
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
1052016
The Stan Math Library: Reverse-Mode Automatic Differentiation in C++
B Carpenter, MD Hoffman, M Brubaker, D Lee, P Li, M Betancourt
arXiv preprint arXiv:1509.07164, 2015
1022015
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