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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

Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019
Self Attention in Variational Sequential Learning for Summarization INTERSPEECH 2019
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders INTERSPEECH 2019
Variational Attention Using Articulatory Priors for Generating Code Mixed Speech Using Monolingual Corpora INTERSPEECH 2019
Conditional Expectation Propagation UAI 2019
One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019
Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NIPS 2019
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions NIPS 2019
Uncertainty-based Continual Learning with Adaptive Regularization NIPS 2019
Variational Temporal Abstraction NIPS 2019
Game Design for Eliciting Distinguishable Behavior NIPS 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CORL 2019
Unsupervised Neural Machine Translation with Future Rewarding CONLL 2019
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing CONLL 2019
Trust Region Sequential Variational Inference ACML 2019
VIREL: A Variational Inference Framework for Reinforcement Learning NIPS 2019
Loss Landscapes of Regularized Linear Autoencoders ICML 2019
Copula-like Variational Inference NIPS 2019
Conditional Structure Generation through Graph Variational Generative Adversarial Nets NIPS 2019
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders IJCAI 2019
Multi-objects Generation with Amortized Structural Regularization NIPS 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning NIPS 2019
Discrete Flows: Invertible Generative Models of Discrete Data NIPS 2019