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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

Variational Wasserstein gradient flow ICML 2022
Variational Sparse Coding with Learned Thresholding ICML 2022
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract) IJCAI 2022
The Infinite Contextual Graph Markov Model ICML 2022
Variational Feature Pyramid Networks ICML 2022
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning IJCAI 2022
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection ICML 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems ICML 2022
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty ICML 2022
Structured Stochastic Gradient MCMC ICML 2022
Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Variational Learning for Unsupervised Knowledge Grounded Dialogs IJCAI 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis NIPS 2022
Foundation Posteriors for Approximate Probabilistic Inference NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Decoupled Self-supervised Learning for Graphs NIPS 2022
Structured Recognition for Generative Models with Explaining Away NIPS 2022
On Divergence Measures for Bayesian Pseudocoresets NIPS 2022