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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

Stein Variational Gradient Descent as Gradient Flow NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
Variational Mixtures of Gaussian Processes for Classification IJCAI 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise NIPS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Filtering Variational Objectives NIPS 2017
Averaged Collapsed Variational Bayes Inference JMLR 2017
Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception RSS 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017
Gray-box Inference for Structured Gaussian Process Models AISTATS 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CORL 2017
Perturbative Black Box Variational Inference NIPS 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017
Inference Compilation and Universal Probabilistic Programming AISTATS 2017
Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017
Concrete Dropout NIPS 2017
Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017
Variational Boosting: Iteratively Refining Posterior Approximations ICML 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017
Automatic Differentiation Variational Inference JMLR 2017
GPflow: A Gaussian Process Library using TensorFlow JMLR 2017
Reinforcement Learning with Deep Energy-Based Policies ICML 2017
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
On the properties of variational approximations of Gibbs posteriors JMLR 2016
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016