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variational inference
2069 papers
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Also known as
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
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
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