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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

ShapeOdds: Variational Bayesian Learning of Generative Shape Models CVPR 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Attributing Hacks AISTATS 2017
A Generative Parser with a Discriminative Recognition Algorithm ACL 2017
Bayesian Models of Data Streams with Hierarchical Power Priors ICML 2017
Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017
f-GANs in an Information Geometric Nutshell NIPS 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017
Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017
Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017
Non-parametric Structured Output Networks NIPS 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017
Variational Inference for Sparse and Undirected Models ICML 2017
Deep Generative Models for Relational Data with Side Information ICML 2017
Multiple Clustering Views from Multiple Uncertain Experts ICML 2017
Latent Variable Dialogue Models and their Diversity EACL 2017
Dynamic Word Embeddings ICML 2017
Identification of Gaussian Process State Space Models NIPS 2017
From Bayesian Sparsity to Gated Recurrent Nets NIPS 2017
Collapsed variational Bayes for Markov jump processes NIPS 2017