Rényi Divergence Variational Inference

6 February 2016

Papers citing "Rényi Divergence Variational Inference"

47 / 47 papers shown

Title
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 52 0 0 30 Apr 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 31 1 0 14 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 53 0 0 22 Jul 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 0 0 25 May 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 29 0 0 13 Mar 2024
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 21 4 0 25 May 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 34 3 0 09 Nov 2022
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 19 8 0 12 Oct 2022
Variational Open-Domain Question Answering Valentin Liévin Andreas Geert Motzfeldt Ida Riis Jensen Ole Winther OOD BDL 36 8 0 23 Sep 2022
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks Ponkrshnan Thiagarajan Susanta Ghosh BDL 25 8 0 23 Sep 2022
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 39 3 0 07 Sep 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 31 10 0 12 Aug 2022
Bounding Evidence and Estimating Log-Likelihood in VAE Lukasz Struski Marcin Mazur Pawel Batorski Przemysław Spurek Jacek Tabor 18 3 0 19 Jun 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh Jacob R. Gardner Adji Bousso Dieng Hongseok Kim BDL 32 8 0 13 Jun 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 30 46 0 08 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 14 5 0 03 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 71 17 0 22 Feb 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang H. Lam A. Meisami Haofeng Zhang 36 4 0 31 Jan 2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation Pierre Colombo Chloe Clave Pablo Piantanida 34 41 0 02 Dec 2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi Ma Michael I. Jordan BDL 18 40 0 30 Jun 2021
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization Tomas Geffner Justin Domke 30 9 0 13 May 2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models Imon Banerjee Vinayak A. Rao Harsha Honnappa 21 12 0 13 Jan 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 138 48 0 20 Oct 2020
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference Rob Brekelmans Vaden Masrani Frank Wood Greg Ver Steeg Aram Galstyan 6 16 0 01 Jul 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence J. Deasy Nikola Simidjievski Pietro Lió DRL 17 29 0 18 Jun 2020
Infinite-dimensional gradient-based descent for alpha-divergence minimisation Kamélia Daudel Randal Douc Franccois Portier 21 17 0 20 May 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 121 54 0 23 Mar 2020
Generalized Bayesian Filtering via Sequential Monte Carlo Ayman Boustati Ömer Deniz Akyildiz Theodoros Damoulas A. M. Johansen 30 4 0 23 Feb 2020
Learning Discrete Distributions by Dequantization Emiel Hoogeboom Taco S. Cohen Jakub M. Tomczak DRL 34 31 0 30 Jan 2020
The $f$ -Divergence Expectation Iteration Scheme Kamélia Daudel Randal Douc Franccois Portier François Roueff 22 1 0 26 Sep 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 35 15 0 26 Jun 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 24 68 0 06 Jun 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $β$ -Divergences Jeremias Knoblauch Jack Jewson Theodoros Damoulas 19 56 0 06 Jun 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 17 30 0 01 Jun 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 16 42 0 29 May 2018
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation Manuel Haussmann Fred Hamprecht M. Kandemir BDL 26 6 0 19 May 2018
Alpha-Beta Divergence For Variational Inference Jean-Baptiste Regli Ricardo M. A. Silva BDL 9 24 0 02 May 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 36 80 0 01 Nov 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 28 204 0 09 May 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences Yingzhen Li Y. Gal UQCV BDL 46 195 0 08 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 0 28 Feb 2017