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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
Active Learning Solution on Distributed Edge Computing Jia Qian Sayantani Sengupta Lars Kai Hansen 56 20 0 25 Jun 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 101 416 0 25 Jun 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke Daniel Sheldon 182 18 0 24 Jun 2019
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 80 14 0 21 Jun 2019
Derivation of the Variational Bayes Equations A. Maren DRL 27 4 0 20 Jun 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke DRL 59 23 0 19 Jun 2019
Variational Inference with Numerical Derivatives: variance reduction through coupling Alexander Immer Guillaume P. Dehaene BDL DRL 20 0 0 17 Jun 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 88 566 0 17 Jun 2019
Reweighted Expectation Maximization Adji Bousso Dieng John Paisley VLM DRL 70 17 0 13 Jun 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models Alessandro Davide Ialongo Mark van der Wilk J. Hensman C. Rasmussen 79 30 0 13 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes R. Krishnan Mahesh Subedar Omesh Tickoo BDL 80 47 0 12 Jun 2019
A Bayesian Approach to In-Game Win Probability in Soccer Pieter Robberechts Jan Van Haaren Jesse Davis SyDa 33 19 0 12 Jun 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 120 82 0 12 Jun 2019
Learning Deep Generative Models with Annealed Importance Sampling Xinqiang Ding David J. Freedman VLM BDL GAN 96 11 0 12 Jun 2019
Towards Amortized Ranking-Critical Training for Collaborative Filtering Sam Lobel Chunyuan Li Jianfeng Gao Lawrence Carin 56 15 0 10 Jun 2019
Enabling Robust State Estimation through Measurement Error Covariance Adaptation Ryan M. Watson Jason N. Gross Clark N. Taylor R. Leishman 21 20 0 10 Jun 2019
Topic-Aware Neural Keyphrase Generation for Social Media Language Yue Wang Jing Li Hou Pong Chan Irwin King Michael R. Lyu Shuming Shi BDL 71 82 0 10 Jun 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 140 138 0 09 Jun 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 76 163 0 07 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 79 12 0 07 Jun 2019
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference Yitong Li Timothy Baldwin Trevor Cohn BDL 38 9 0 07 Jun 2019
Deep Compositional Spatial Models A. Zammit‐Mangion T. L. J. Ng Quan Vu Maurizio Filippone 126 57 0 06 Jun 2019
Counterfactual Inference for Consumer Choice Across Many Product Categories Rob Donnelly Francisco J. R. Ruiz David M. Blei Susan Athey CML 107 33 0 06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 68 197 0 06 Jun 2019
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 287 21 0 04 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching Jihun Choi Taeuk Kim Sang-goo Lee BDL 77 6 0 04 Jun 2019
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder Shichen Cao Jingjing Li Kenric P. Nelson Mark A. Kon BDL DRL 59 16 0 03 Jun 2019
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling Minghao Gu Shiliang Sun BDL 40 0 0 01 Jun 2019
Bayesian Deconditional Kernel Mean Embeddings Kelvin Hsu F. Ramos CML BDL 54 9 0 01 Jun 2019
Dirichlet Simplex Nest and Geometric Inference Mikhail Yurochkin Aritra Guha Yuekai Sun X. Nguyen 80 4 0 27 May 2019
Variational Bayes under Model Misspecification Yixin Wang David M. Blei 67 45 0 26 May 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning Jiaqi Ma Weijing Tang Ji Zhu Qiaozhu Mei BDL 62 63 0 26 May 2019
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval Adam D. Cobb Michael D. Himes Frank Soboczenski Simone Zorzan Molly D. O'Beirne A. G. Baydin Y. Gal S. Domagal‐Goldman Giada N. Arney Daniel Angerhausen 61 57 0 25 May 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 197 211 0 23 May 2019
Gaussbock: Fast parallel-iterative cosmological parameter estimation with Bayesian nonparametrics Ben Moews J. Zuntz 45 2 0 23 May 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation Théo Galy-Fajou F. Wenzel Christian Donner Manfred Opper 62 30 0 23 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders Avi Caciularu D. Burshtein 71 50 0 21 May 2019
Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models Balasubramanya T. Nadiga C. Jiang Daniel Livescu 25 12 0 20 May 2019
Recommendation from Raw Data with Adaptive Compound Poisson Factorization Olivier Gouvert Thomas Oberlin Cédric Févotte 46 12 0 20 May 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling Hao Zhang Bo Chen Long Tian Zhengjue Wang Mingyuan Zhou DRL 67 7 0 18 May 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations Brian L. Trippe Jonathan H. Huggins Raj Agrawal Tamara Broderick BDL 75 9 0 17 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 135 816 0 16 May 2019
When random initializations help: a study of variational inference for community detection Purnamrita Sarkar Y. X. R. Wang Soumendu Sundar Mukherjee BDL 75 6 0 16 May 2019
Neutron Transmission Strain Tomography for Non-Constant Stress-Free Lattice Spacing J. Hendriks Carl Jidling Thomas B. Schon A. Wills C. Wensrich E. Kisi 33 6 0 15 May 2019
Moment-Based Variational Inference for Markov Jump Processes C. Wildner Heinz Koeppl 65 10 0 14 May 2019
Variational approximations using Fisher divergence Yue Yang Ryan Martin H. Bondell 42 15 0 13 May 2019
Random Function Priors for Correlation Modeling Aonan Zhang John Paisley 50 2 0 09 May 2019
Monte Carlo Co-Ordinate Ascent Variational Inference Lifeng Ye A. Beskos Maria de Iorio Jie Hao DRL BDL 18 1 0 09 May 2019
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines Chirag Nagpal Dennis L. Wei B. Vinzamuri Monica Shekhar Sara E. Berger Subhro Das Kush R. Varshney CML 69 25 0 08 May 2019
Bayesian leave-one-out cross-validation for large data Måns Magnusson Michael Riis Andersen J. Jonasson Aki Vehtari 111 26 0 24 Apr 2019