Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

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Title
A latent topic model for mining heterogenous non-randomly missing electronic health records data Yue Li Manolis Kellis 16 1 0 01 Nov 2018
Gaussian Process Conditional Density Estimation Vincent Dutordoir Hugh Salimbeni M. Deisenroth J. Hensman 16 52 0 30 Oct 2018
Using Large Ensembles of Control Variates for Variational Inference Tomas Geffner Justin Domke BDL 14 34 0 30 Oct 2018
Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo Tian Tian Jiaxin Shi Jun Zhu Bo Zhang 20 18 0 29 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 27 55 0 29 Oct 2018
The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Words Ingrid Falk D. Bernhard Christophe Gérard 8 3 0 25 Oct 2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity Tianyi Lin Zhibo Hu Xin Guo 14 37 0 22 Oct 2018
Variational Noise-Contrastive Estimation Benjamin Rhodes Michael U. Gutmann BDL DRL 9 15 0 18 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 29 13 0 16 Oct 2018
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 14 37 0 16 Oct 2018
Globally Continuous and Non-Markovian Activity Analysis from Videos He Wang C. O'Sullivan 9 24 0 11 Oct 2018
Large Scale Clustering with Variational EM for Gaussian Mixture Models F. Hirschberger D. Forster Jörg Lücke VLM 26 13 0 01 Oct 2018
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences Seonguk Seo Paul Hongsuck Seo Bohyung Han FedML UQCV BDL 8 75 0 28 Sep 2018
Orthogonally Decoupled Variational Gaussian Processes Hugh Salimbeni Ching-An Cheng Byron Boots M. Deisenroth 19 43 0 24 Sep 2018
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems Dongkun Zhang Lu Lu Ling Guo George Karniadakis UQCV 27 399 0 21 Sep 2018
Predictive Collective Variable Discovery with Deep Bayesian Models M. Schöberl N. Zabaras P. Koutsourelakis 17 34 0 18 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 55 0 0 12 Sep 2018
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes Linfeng Liu Liping Liu BDL 18 0 0 08 Sep 2018
Learning Supervised Topic Models for Classification and Regression from Crowds Filipe Rodrigues Mariana Lourenço B. Ribeiro Francisco Câmara Pereira 6 83 0 17 Aug 2018
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering Di Jiang Yuanfeng Song Rongzhong Lian Siqi Bao Jinhua Peng H. He Hua Wu 9 17 0 11 Aug 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 24 52 0 06 Aug 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 26 165 0 24 Jul 2018
Global consensus Monte Carlo Lewis J. Rendell A. M. Johansen Anthony Lee N. Whiteley 24 39 0 24 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 29 31 0 20 Jul 2018
Approximate Collapsed Gibbs Clustering with Expectation Propagation Christopher Aicher E. Fox 28 0 0 19 Jul 2018
Adaptive Variational Particle Filtering in Non-stationary Environments Mahdi Azarafrooz OffRL 6 0 0 19 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 27 172 0 12 Jul 2018
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models Mohammad Emtiyaz Khan Didrik Nielsen BDL 39 62 0 12 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 18 110 0 10 Jul 2018
Fully Scalable Gaussian Processes using Subspace Inducing Inputs A. Panos P. Dellaportas Michalis K. Titsias 24 11 0 06 Jul 2018
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder Kai-Chun Hu Peter O'Connor SSL DRL 21 2 0 05 Jul 2018
Understanding and Accelerating Particle-Based Variational Inference Chang-rui Liu Jingwei Zhuo Pengyu Cheng Ruiyi Zhang Jun Zhu Lawrence Carin 11 14 0 04 Jul 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 30 58 0 04 Jul 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 33 681 0 03 Jul 2018
Topic Discovery in Massive Text Corpora Based on Min-Hashing Gibran Fuentes-Pineda Ivan Vladimir Meza Ruiz 6 12 0 03 Jul 2018
A Piecewise Deterministic Markov Process via $(r,θ)$ swaps in hyperspherical coordinates Alexander Terenin D. Thorngren 11 3 0 02 Jul 2018
Deep learning in business analytics and operations research: Models, applications and managerial implications Mathias Kraus Stefan Feuerriegel A. Oztekin 15 286 0 28 Jun 2018
Conditional Generators of Words Definitions Artyom Gadetsky Ilya Yakubovskiy Dmitry Vetrov 6 68 0 26 Jun 2018
The decoupled extended Kalman filter for dynamic exponential-family factorization models C. Gomez-Uribe Brian Karrer 27 6 0 26 Jun 2018
Unsupervised Word Segmentation from Speech with Attention Pierre Godard Marcely Zanon Boito Lucas Ondel Alexandre Berard François Yvon Aline Villavicencio Laurent Besacier 21 27 0 18 Jun 2018
Using Social Network Information in Bayesian Truth Discovery Jielong Yang Junshan Wang Wee Peng Tay 14 9 0 08 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Scalable Bayesian Nonparametric Clustering and Classification Yang Ni Peter Muller M. Diesendruck Sinead Williamson Yitan Zhu Yuan Ji 31 26 0 07 Jun 2018
Finding Convincing Arguments Using Scalable Bayesian Preference Learning Edwin Simpson Iryna Gurevych BDL 11 52 0 06 Jun 2018
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks C. Park Kathryn B. Laskey Paulo C. G. Costa Shou Matsumoto BDL 14 2 0 06 Jun 2018
Pathwise Derivatives for Multivariate Distributions M. Jankowiak Theofanis Karaletsos 27 11 0 05 Jun 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 30 110 0 05 Jun 2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization L. Ambrogioni Umut Güçlü Julia Berezutskaya Eva W. P. van den Borne Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL VLM 22 17 0 29 May 2018
Efficient Bayesian Inference for a Gaussian Process Density Model Christian Donner Manfred Opper 29 14 0 29 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 19 42 0 29 May 2018