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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

Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022
Variational Continual Proxy-Anchor for Deep Metric Learning AISTATS 2022
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection RSS 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Variational Gaussian Processes: A Functional Analysis View AISTATS 2022
Speech Emotion Recognition via Generation using an Attention-based Variational Recurrent Neural Network INTERSPEECH 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022
Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022
Pulling back information geometry AISTATS 2022
Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022
Conditionally Tractable Density Estimation using Neural Networks AISTATS 2022
Last Layer Marginal Likelihood for Invariance Learning AISTATS 2022
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models AISTATS 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022
Physics Informed Deep Kernel Learning AISTATS 2022
Robust Deep Learning from Crowds with Belief Propagation AISTATS 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition AISTATS 2022
Flow-based Recurrent Belief State Learning for POMDPs ICML 2022