עקוב אחר
Matthew D. Hoffman
Matthew D. Hoffman
Research Scientist, Google Research
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Stan: a probabilistic programming language‏
B Carpenter, A Gelman, M Hoffman, D Lee, B Goodrich, M Betancourt, ...‏
Journal of Statistical Software, 2015‏
79752015
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
55622014
Stochastic variational inference‏
MD Hoffman, DM Blei, C Wang, J Paisley‏
Journal of Machine Learning Research, 2013‏
31102013
Online learning for latent dirichlet allocation‏
M Hoffman, DM Blei, F Bach‏
Advances in Neural Information Processing Systems 23, 856-864, 2010‏
22892010
Variational autoencoders for collaborative filtering‏
D Liang, RG Krishnan, MD Hoffman, T Jebara‏
Proceedings of the 2018 World Wide Web Conference, 689-698, 2018‏
13422018
Music transformer‏
CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, I Simon, C Hawthorne, ...‏
Advances in Neural Processing Systems 3, 4, 2018‏
9012018
Underspecification presents challenges for credibility in modern machine learning‏
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...‏
The Journal of Machine Learning Research 23 (1), 10237-10297, 2022‏
7402022
Learning Activation Functions to Improve Deep Neural Networks‏
F Agostinelli, M Hoffman, P Sadowski, P Baldi‏
arXiv preprint arXiv:1412.6830, 2014‏
7182014
Stochastic Gradient Descent as Approximate Bayesian Inference‏
S Mandt, MD Hoffman, DM Blei‏
arXiv preprint arXiv:1704.04289, 2017‏
689*2017
Tensorflow distributions‏
JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ...‏
arXiv preprint arXiv:1711.10604, 2017‏
6302017
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
4002016
What are Bayesian neural network posteriors really like?‏
P Izmailov, S Vikram, MD Hoffman, AGG Wilson‏
International conference on machine learning, 4629-4640, 2021‏
3892021
Deep Probabilistic Programming‏
D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei‏
arXiv preprint arXiv:1701.03757, 2017‏
2382017
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
225*2014
Bayesian nonparametric matrix factorization for recorded music‏
M Hoffman, D Blei, P Cook‏
Proc. ICML, 439-446, 2010‏
2112010
Structured stochastic variational inference‏
MD Hoffman, DM Blei‏
Artificial Intelligence and Statistics, 2015‏
195*2015
Sparse stochastic inference for latent dirichlet allocation‏
D Mimno, M Hoffman, D Blei‏
arXiv preprint arXiv:1206.6425, 2012‏
1952012
Nonparametric variational inference‏
S Gershman, M Hoffman, D Blei‏
arXiv preprint arXiv:1206.4665, 2012‏
1872012
A variational analysis of stochastic gradient algorithms‏
S Mandt, M Hoffman, D Blei‏
International Conference on Machine Learning, 354-363, 2016‏
1712016
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
1652016
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מאמרים 1–20