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Validated Variational Inference via Practical Posterior Error Bounds

9 October 2019

Papers citing "Validated Variational Inference via Practical Posterior Error Bounds"

36 / 36 papers shown

Title
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 84 2 0 14 Oct 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 135 2 0 20 Mar 2024
Universal Boosting Variational Inference Trevor Campbell Xinglong Li 35 32 0 04 Jun 2019
Variational Bayes under Model Misspecification Yixin Wang David M. Blei 47 45 0 26 May 2019
Global Non-convex Optimization with Discretized Diffusions Murat A. Erdogdu Lester W. Mackey Ohad Shamir 75 105 0 29 Oct 2018
Random Feature Stein Discrepancies Jonathan H. Huggins Lester W. Mackey 75 45 0 20 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 81 32 0 06 Jun 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 99 52 0 14 May 2018
Analysis of Langevin Monte Carlo via convex optimization Alain Durmus Szymon Majewski B. Miasojedow 64 222 0 26 Feb 2018
Stochastic Wasserstein Barycenters Sebastian Claici Edward Chien Justin Solomon 56 71 0 15 Feb 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 58 136 0 07 Feb 2018
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 62 64 0 25 Dec 2017
Boosting Variational Inference: an Optimization Perspective Francesco Locatello Rajiv Khanna Joydeep Ghosh Gunnar Rätsch 56 36 0 05 Aug 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 82 126 0 28 Jun 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 124 208 0 09 May 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 136 223 0 06 Mar 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping Pierre Baqué François Fleuret Pascal Fua AI4CE 57 3 0 23 Nov 2016
Measuring Sample Quality with Diffusions Jackson Gorham Andrew B. Duncan Sandra Jeanne Vollmer Lester W. Mackey 73 117 0 21 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 61 124 0 20 Nov 2016
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 126 76 0 17 Nov 2016
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 93 356 0 05 May 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 109 263 0 06 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 295 4,807 0 04 Jan 2016
Black-box $α$ -divergence Minimization José Miguel Hernández-Lobato Yingzhen Li Mark Rowland Daniel Hernández-Lobato T. Bui Richard Turner 123 140 0 10 Nov 2015
The sample size required in importance sampling S. Chatterjee P. Diaconis 132 191 0 04 Nov 2015
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 107 256 0 12 Jun 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 71 234 0 10 Jun 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 110 225 0 09 Jun 2015
Perturbation theory for Markov chains via Wasserstein distance Daniel Rudolf Nikolaus Schweizer 89 108 0 13 Mar 2015
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics Sebastian J. Vollmer K. Zygalakis and Yee Whye Teh 87 49 0 02 Jan 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 150 1,167 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 117 741 0 16 Oct 2013
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,282 0 09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 171 4,309 0 18 Nov 2011
Quantitative bounds for Markov chain convergence: Wasserstein and total variation distances N. Madras Deniz Sezer 82 54 0 25 Feb 2011