v1v2v3 (latest)

Advances in Variational Inference

15 November 2017

Papers citing "Advances in Variational Inference"

50 / 120 papers shown

Title
Generative Modeling of Class Probability for Multi-Modal Representation Learning Jungkyoo Shin Bumsoo Kim Eunwoo Kim 94 1 0 21 Mar 2025
Streamlining Prediction in Bayesian Deep Learning Marcus Klasson Talal Alrawajfeh Mikko Heikkilä Martin Trapp UQCV BDL 213 2 0 27 Nov 2024
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors Massimo Bilancia Samuele Magro 67 0 0 29 Oct 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 121 0 0 10 Sep 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 452 3 0 05 Jun 2024
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem Roumen Nikolaev Popov 80 0 0 16 Apr 2024
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 127 2 0 25 Oct 2023
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 76 168 0 24 Jul 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 99 60 0 04 Jul 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 170 271 0 13 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 85 128 0 28 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 95 674 0 02 May 2018
Active Mini-Batch Sampling using Repulsive Point Processes Cheng Zhang Cengiz Öztireli Stephan Mandt G. Salvi 39 36 0 08 Apr 2018
Variational Message Passing with Structured Inference Networks Wu Lin Nicolas Hubacher Mohammad Emtiyaz Khan BDL 73 54 0 15 Mar 2018
Tighter Variational Bounds are Not Necessarily Better Tom Rainforth Adam R. Kosiorek T. Le Chris J. Maddison Maximilian Igl Frank Wood Yee Whye Teh DRL 182 198 0 13 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 137 283 0 10 Jan 2018
Perturbative Black Box Variational Inference Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt BDL 66 40 0 21 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 119 132 0 18 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 60 43 0 18 Sep 2017
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions Michalis K. Titsias BDL 51 23 0 04 Aug 2017
Structured Black Box Variational Inference for Latent Time Series Models Robert Bamler Stephan Mandt BDL 147 15 0 04 Jul 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 103 456 0 30 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 65 84 0 22 May 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 139 208 0 09 May 2017
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 126 28 0 18 Apr 2017
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models A. Saeedi Matthew D. Hoffman S. DiVerdi Asma Ghandeharioun Matthew J. Johnson Ryan P. Adams DiffM 57 9 0 17 Apr 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 67 599 0 13 Apr 2017
Reinterpreting Importance-Weighted Autoencoders Chris Cremer Q. Morris David Duvenaud BDL FAtt 120 94 0 10 Apr 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 75 140 0 07 Apr 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 272 282 0 21 Mar 2017
Faster Coordinate Descent via Adaptive Importance Sampling Dmytro Perekrestenko Volkan Cevher Martin Jaggi 75 42 0 07 Mar 2017
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 152 564 0 04 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 86 158 0 28 Feb 2017
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 225 232 0 27 Feb 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 71 62 0 27 Feb 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 167 135 0 27 Feb 2017
Variational Policy for Guiding Point Processes Yichen Wang Grady Williams Evangelos Theodorou Le Song 61 23 0 30 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 146 530 0 17 Jan 2017
Coupling Adaptive Batch Sizes with Learning Rates Lukas Balles Javier Romero Philipp Hennig ODL 148 110 0 15 Dec 2016
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 76 29 0 15 Dec 2016
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 130 1,728 0 01 Dec 2016
Two Methods For Wild Variational Inference Qiang Liu Yihao Feng BDL 136 19 0 30 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 67 124 0 20 Nov 2016
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 136 76 0 17 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 88 340 0 15 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 170 676 0 08 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 146 119 0 06 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,390 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,541 0 02 Nov 2016
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 140 35 0 01 Nov 2016