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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

Variational Graph Embedding and Clustering with Laplacian Eigenmaps IJCAI 2019
CompareLDA: A Topic Model for Document Comparison AAAI 2019
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts AAAI 2019
Subspace Inference for Bayesian Deep Learning UAI 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019
Variational Noise-Contrastive Estimation AISTATS 2019
Variance reduction properties of the reparameterization trick AISTATS 2019
Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019
Auto-Encoding Variational Neural Machine Translation ACL 2019
Generic Inference in Latent Gaussian Process Models JMLR 2019
Document Informed Neural Autoregressive Topic Models with Distributional Prior AAAI 2019
Bayesian Deep Collaborative Matrix Factorization AAAI 2019
Learning Disentangled Representation with Pairwise Independence AAAI 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Unbiased Implicit Variational Inference AISTATS 2019
Bayesian Posterior Approximation via Greedy Particle Optimization AAAI 2019
Topic Modeling with Wasserstein Autoencoders ACL 2019
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019