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variational inference

2069 papers

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VI

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 Sequential Labelers for Semi-Supervised Learning EMNLP 2018
Stein Variational Message Passing for Continuous Graphical Models ICML 2018
Cross-Modal Deep Variational Hand Pose Estimation CVPR 2018
Streamlining Variational Inference for Constraint Satisfaction Problems NIPS 2018
Provable Variational Inference for Constrained Log-Submodular Models NIPS 2018
Stock Movement Prediction from Tweets and Historical Prices ACL 2018
Deep State Space Models for Unconditional Word Generation NIPS 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data NIPS 2018
Grounding Referring Expressions in Images by Variational Context CVPR 2018
Gaussian Process Prior Variational Autoencoders NIPS 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes NIPS 2018
Redundancy-resistant Generative Hashing for Image Retrieval IJCAI 2018
Simple, Distributed, and Accelerated Probabilistic Programming NIPS 2018
Importance Weighting and Variational Inference NIPS 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction NIPS 2018
Dropout Inference in Bayesian Neural Networks with Alpha-divergences ICML 2017
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Variational Recurrent Neural Networks for Speech Separation INTERSPEECH 2017
Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis AISTATS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Co-clustering through Optimal Transport ICML 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation JMLR 2017