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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

Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ICML 2019
Variational Implicit Processes ICML 2019
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing ICML 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation IJCNLP 2019
Variational Hierarchical User-based Conversation Model IJCNLP 2019
Boosted Density Estimation Remastered ICML 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019
Approximate Bayesian Inference in Spatial Environments RSS 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019
Variational Structured Semantic Inference for Diverse Image Captioning NIPS 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation NAACL 2019
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification NAACL 2019
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation NAACL 2019
Learning to Decipher Hate Symbols NAACL 2019
Deep Gaussian Processes with Importance-Weighted Variational Inference ICML 2019
Scalable Collapsed Inference for High-Dimensional Topic Models NAACL 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations NAACL 2019
Unsupervised Recurrent Neural Network Grammars NAACL 2019
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process NAACL 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Augmenting and Tuning Knowledge Graph Embeddings UAI 2019
Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019
Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function INTERSPEECH 2019
Semi-Supervised Voice Conversion with Amortized Variational Inference INTERSPEECH 2019