Augment and Reduce: Stochastic Inference for Large Categorical
Distributions

v1v2v3 (latest)

Augment and Reduce: Stochastic Inference for Large Categorical Distributions

12 February 2018

Francisco J. R. Ruiz

Michalis K. Titsias

Adji Bousso Dieng

ArXiv (abs)PDF HTML

Papers citing "Augment and Reduce: Stochastic Inference for Large Categorical Distributions"

8 / 8 papers shown

Title
Unbiased scalable softmax optimization Francois Fagan G. Iyengar 40 12 0 22 Mar 2018
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search Stephen Mussmann Daniel Levy Stefano Ermon FedML 47 22 0 11 Jul 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 145 202 0 27 Mar 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 309 4,817 0 04 Jan 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 282 1,246 0 01 Sep 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets Pascal Vincent A. D. Brébisson Xavier Bouthillier 82 49 0 22 Dec 2014
Conditional Probability Tree Estimation Analysis and Algorithms A. Beygelzimer John Langford Y. Lifshits G. Sorkin Alexander L. Strehl TPM 70 89 0 09 Aug 2014
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 277 2,628 0 29 Jun 2012