Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

50 / 1,065 papers shown

Title
MBA: Mini-Batch AUC Optimization San Gultekin A. Saha A. Ratnaparkhi John Paisley 28 22 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 12 73 0 25 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 21 82 0 23 May 2018
Implicit Reparameterization Gradients Michael Figurnov S. Mohamed A. Mnih BDL 13 230 0 22 May 2018
Heterogeneous Multi-output Gaussian Process Prediction P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez 14 70 0 19 May 2018
The Hierarchical Adaptive Forgetting Variational Filter Vincent Moens OOD BDL 43 4 0 15 May 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 35 52 0 14 May 2018
Spatial Uncertainty Sampling for End-to-End Control Alexander Amini A. Soleimany S. Karaman Daniela Rus UQCV BDL 12 30 0 13 May 2018
Adaptive Sensing for Learning Nonstationary Environment Models S. Garg Amarjeet Singh F. Ramos 15 1 0 26 Apr 2018
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems Zihao Xiao Jianfei Chen Jun Zhu BDL 14 0 0 10 Apr 2018
Learning Latent Events from Network Message Logs Siddhartha Satpathi S. Deb F. I. R. Srikant He Yan 16 13 0 10 Apr 2018
Active Mini-Batch Sampling using Repulsive Point Processes Cheng Zhang Cengiz Öztireli Stephan Mandt G. Salvi 6 36 0 08 Apr 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 20 32 0 05 Apr 2018
Stochastic Variational Inference with Gradient Linearization Tobias Plötz Anne S. Wannenwetsch Stefan Roth 11 2 0 28 Mar 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models Hugh Salimbeni Stefanos Eleftheriadis J. Hensman BDL 25 85 0 24 Mar 2018
Locally Private Bayesian Inference for Count Models Aaron Schein Zhiwei Steven Wu Alexandra Schofield Mingyuan Zhou Hanna M. Wallach 11 36 0 22 Mar 2018
Scalable Generalized Dynamic Topic Models P. Jähnichen F. Wenzel Marius Kloft Stephan Mandt BDL 38 40 0 21 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 23 142 0 20 Mar 2018
Acoustic feature learning using cross-domain articulatory measurements Qingming Tang Weiran Wang Karen Livescu 22 2 0 19 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 18 249 0 15 Mar 2018
Variational Message Passing with Structured Inference Networks Wu Lin Nicolas Hubacher Mohammad Emtiyaz Khan BDL 28 54 0 15 Mar 2018
Learning the Base Distribution in Implicit Generative Models Cem Subakan Oluwasanmi Koyejo Paris Smaragdis GAN DRL 6 8 0 12 Mar 2018
High Throughput Synchronous Distributed Stochastic Gradient Descent Michael Teng Frank Wood 15 2 0 12 Mar 2018
Improving Optimization for Models With Continuous Symmetry Breaking Robert Bamler Stephan Mandt DRL 28 14 0 08 Mar 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang Bo Chen D. Guo Mingyuan Zhou BDL 14 114 0 04 Mar 2018
Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography L. Bruder P. Koutsourelakis MedIm AI4CE 17 9 0 02 Mar 2018
Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream M. Kaptein P. Ketelaar 6 4 0 28 Feb 2018
ADMM-based Networked Stochastic Variational Inference Hamza Anwar Quanyan Zhu BDL 4 3 0 27 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks Max Kochurov T. Garipov D. Podoprikhin Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov OOD CLL BDL 15 22 0 20 Feb 2018
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation F. Wenzel Théo Galy-Fajou Christian Donner Marius Kloft Manfred Opper 34 36 0 18 Feb 2018
Bayesian Models for Unit Discovery on a Very Low Resource Language Lucas Ondel Pierre Godard Laurent Besacier Elin Larsen M. Hasegawa-Johnson O. Scharenborg Emmanuel Dupoux L. Burget François Yvon Sanjeev Khudanpur 21 18 0 16 Feb 2018
Quantum Variational Autoencoder Amir Khoshaman W. Vinci Brandon Denis Evgeny Andriyash Hossein Sadeghi Mohammad H. Amin BDL DRL 18 175 0 15 Feb 2018
Uncertainty Estimation via Stochastic Batch Normalization Andrei Atanov Arsenii Ashukha Dmitry Molchanov Kirill Neklyudov Dmitry Vetrov UQCV BDL 37 47 0 13 Feb 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 23 196 0 13 Feb 2018
Augment and Reduce: Stochastic Inference for Large Categorical Distributions Francisco J. R. Ruiz Michalis K. Titsias Adji Bousso Dieng David M. Blei BDL 19 22 0 12 Feb 2018
Physics-constrained, data-driven discovery of coarse-grained dynamics L. Felsberger P. Koutsourelakis AI4CE 13 19 0 11 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 18 135 0 07 Feb 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 33 136 0 05 Feb 2018
Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier K. Pamnany Keno Fischer A. Noack Maximilian Lam ... Ryan Giordano D. Schlegel Jon D. McAuliffe R. Thomas P. Prabhat 29 16 0 31 Jan 2018
Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm Vadim Smolyakov Julian Straub Sue Zheng John W. Fisher III 16 9 0 27 Jan 2018
Adaptive Scan Gibbs Sampler for Large Scale Inference Problems Vadim Smolyakov Qiang Liu John W. Fisher III 14 0 0 27 Jan 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 24 40 0 24 Jan 2018
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data Susan Athey David M. Blei Rob Donnelly Francisco J. R. Ruiz Tobias Schmidt 22 66 0 22 Jan 2018
Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC Qi Liu A. Bhadra W. Cleveland 26 0 0 15 Jan 2018
Asynchronous Stochastic Variational Inference S. Mohamad A. Bouchachia M. S. Mouchaweh 13 8 0 12 Jan 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 33 280 0 10 Jan 2018
Negative Binomial Matrix Factorization for Recommender Systems Olivier Gouvert Thomas Oberlin Cédric Févotte 11 9 0 05 Jan 2018