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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
Variational Bayesian Context-aware Representation for Grocery Recommendation Zaiqiao Meng R. McCreadie Craig Macdonald I. Ounis BDL CML 47 7 0 17 Sep 2019
Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions Chenguang Dai Jun S. Liu 70 7 0 12 Sep 2019
Correlation Priors for Reinforcement Learning Bastian Alt Adrian Šošić Heinz Koeppl OffRL 71 12 0 11 Sep 2019
Correcting Predictions for Approximate Bayesian Inference Tomasz Kuśmierczyk J. Sakaya Arto Klami 60 10 0 11 Sep 2019
Static Analysis for Probabilistic Programs Ryan Bernstein TPM 58 20 0 10 Sep 2019
A Flexible Framework for Anomaly Detection via Dimensionality Reduction A. V. Sadr Bruce A. Bassett M. Kunz 33 15 0 09 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs Shuyu Lin Stephen J. Roberts Niki Trigoni R. Clark DRL 43 16 0 09 Sep 2019
Meta Learning with Relational Information for Short Sequences Yujia Xie Haoming Jiang Feng Liu T. Zhao H. Zha 86 14 0 04 Sep 2019
Accelerated Information Gradient flow Yifei Wang Wuchen Li 86 57 0 04 Sep 2019
Empirical Study of Diachronic Word Embeddings for Scarce Data Syrielle Montariol A. Allauzen 47 9 0 04 Sep 2019
Autoregressive Text Generation Beyond Feedback Loops Florian Schmidt Stephan Mandt Thomas Hofmann AI4TS 82 14 0 30 Aug 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Yuting Ye Xuwu Wang Jiangchao Yao Kunyang Jia Jingren Zhou Yanghua Xiao Hongxia Yang BDL 73 27 0 28 Aug 2019
A Probabilistic Representation of Deep Learning Xinjie Lan Kenneth Barner UQCV BDL AI4CE 110 1 0 26 Aug 2019
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Xudong Sun B. Bischl BDL 67 9 0 25 Aug 2019
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S. Berchuck Felipe A. Medeiros S. Mukherjee BDL 52 3 0 24 Aug 2019
Improving Outfit Recommendation with Co-supervision of Fashion Generation Yujie Lin Fajie Yuan Zhumin Chen Zhaochun Ren Jun Ma Maarten de Rijke 61 49 0 24 Aug 2019
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing Xianan Huang Boqi Li H. Peng Joshua A. Auld Vadim Sokolov 27 8 0 23 Aug 2019
Expected path length on random manifolds David Eklund Søren Hauberg DRL 136 15 0 20 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 88 132 0 19 Aug 2019
The Next 700 Policy Miners: A Universal Method for Building Policy Miners C. C. Jiménez Luca Corinzia Thilo Weghorn David Basin 38 15 0 16 Aug 2019
Thompson Sampling with Approximate Inference My Phan Yasin Abbasi-Yadkori Justin Domke 64 29 0 14 Aug 2019
Convergence Rates of Variational Inference in Sparse Deep Learning Badr-Eddine Chérief-Abdellatif BDL 125 39 0 09 Aug 2019
Variational Bayes on Manifolds Minh-Ngoc Tran D. Nguyen Duy Nguyen 118 23 0 08 Aug 2019
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal Tung-Yu Wu Y. X. R. Wang W. Wong 95 11 0 08 Aug 2019
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders M. Sadeghi Simon Leglaive Xavier Alameda-Pineda Laurent Girin Radu Horaud DiffM 108 66 0 07 Aug 2019
Population Predictive Checks Rajesh Ranganath David M. Blei Rajesh Ranganath 80 13 0 02 Aug 2019
Updating Variational Bayes: Fast sequential posterior inference Nathaniel Tomasetti Catherine S. Forbes Anastasios Panagiotelis 52 9 0 01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 104 33 0 31 Jul 2019
A Theoretical Case Study of Structured Variational Inference for Community Detection Mingzhang Yin Y. X. R. Wang Purnamrita Sarkar 73 8 0 29 Jul 2019
Adaptively stacking ensembles for influenza forecasting with incomplete data T. McAndrew N. Reich AI4TS 49 26 0 26 Jul 2019
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport L. Duan OT 61 11 0 24 Jul 2019
Noise Regularization for Conditional Density Estimation Jonas Rothfuss Fabio Ferreira S. Boehm Simon Walther Maxim Ulrich Tamim Asfour Andreas Krause 55 32 0 21 Jul 2019
Product Aesthetic Design: A Machine Learning Augmentation Alex Burnap J. Hauser Artem Timoshenko 34 46 0 17 Jul 2019
Information processing constraints in travel behaviour modelling: A generative learning approach Melvin Wong Bilal Farooq 33 1 0 16 Jul 2019
Structured Variational Inference in Unstable Gaussian Process State Space Models Silvan Melchior Sebastian Curi Felix Berkenkamp Andreas Krause 89 4 0 16 Jul 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 83 139 0 16 Jul 2019
The Dynamic Embedded Topic Model Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 68 87 0 12 Jul 2019
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 80 20 0 10 Jul 2019
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 121 259 0 09 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 97 103 0 08 Jul 2019
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data Xihaier Luo A. Kareem BDL UQCV 50 29 0 08 Jul 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 204 648 0 08 Jul 2019
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations Shi Hu Daniel E. Worrall Stefan Knegt Bastiaan S. Veeling Henkjan Huisman Max Welling UQCV 70 96 0 03 Jul 2019
Learning GPLVM with arbitrary kernels using the unscented transformation Daniel Augusto R. M. A. de Souza Diego Mesquita C. L. C. Mattos Joao P. P. Gomes 61 0 0 03 Jul 2019
Learning to Traverse Latent Spaces for Musical Score Inpainting Ashis Pati Alexander Lerch Gaëtan Hadjeres 86 56 0 02 Jul 2019
Augmenting and Tuning Knowledge Graph Embeddings Robert Bamler Farnood Salehi Stephan Mandt 57 8 0 01 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 84 18 0 01 Jul 2019
Bandit Learning for Diversified Interactive Recommendation Yong Liu Yingtai Xiao Qiong Wu Chunyan Miao Juyong Zhang 24 1 0 01 Jul 2019
The Thermodynamic Variational Objective Vaden Masrani T. Le Frank Wood 125 48 0 28 Jun 2019
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model P. Barbillon J. Chiquet Timothée Tabouy 55 2 0 28 Jun 2019