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Using Large Ensembles of Control Variates for Variational Inference

30 October 2018

Papers citing "Using Large Ensembles of Control Variates for Variational Inference"

24 / 24 papers shown

Title
Discrete Neural Flow Samplers with Locally Equivariant Transformer Zijing Ou Ruixiang Zhang Yingzhen Li 64 0 0 23 May 2025
Better Estimation of the KL Divergence Between Language Models Afra Amini Tim Vieira Ryan Cotterell 98 0 0 14 Apr 2025
Accelerating Unbiased LLM Evaluation via Synthetic Feedback Zhaoyi Zhou Yuda Song Andrea Zanette ALM 130 0 0 14 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 149 10 0 28 Jan 2025
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 180 691 0 15 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 99 300 0 31 Oct 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 61 84 0 22 May 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 115 201 0 27 Mar 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 224 282 0 21 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 342 5,372 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 196 2,533 0 02 Nov 2016
The Generalized Reparameterization Gradient Francisco J. R. Ruiz Michalis K. Titsias David M. Blei BDL 83 169 0 07 Oct 2016
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification Steven Cheng-Xian Li Benjamin M. Marlin AI4TS BDL 52 87 0 14 Jun 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 125 47 0 03 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 285 4,793 0 04 Jan 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,514 0 08 Jun 2015
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 89 247 0 20 Dec 2014
Deep Exponential Families Rajesh Ranganath Linpeng Tang Laurent Charlin David M. Blei BDL 45 153 0 10 Nov 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 182 729 0 31 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 142 1,167 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 259 2,625 0 29 Jun 2012
Variational Bayesian Inference with Stochastic Search John Paisley David M. Blei Michael I. Jordan BDL 106 499 0 27 Jun 2012
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization Alekh Agarwal Peter L. Bartlett Pradeep Ravikumar Martin J. Wainwright 202 251 0 03 Sep 2010