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variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NIPS 2013
Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013
Gaussian Kullback-Leibler Approximate Inference JMLR 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition NIPS 2013
Generalized Random Utility Models with Multiple Types NIPS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Bayesian Canonical Correlation Analysis JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Smooth Operators ICML 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video CVPR 2013
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Message passing with l1 penalized KL minimization ICML 2013
Factorized Asymptotic Bayesian Inference for Latent Feature Models NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Efficient Optimization for Sparse Gaussian Process Regression NIPS 2013
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NIPS 2013
A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013
Parameter Learning and Convergent Inference for Dense Random Fields ICML 2013
Learning to Pass Expectation Propagation Messages NIPS 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Small-Variance Asymptotics for Hidden Markov Models NIPS 2013