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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

Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement NIPS 2022
Bayesian Nonparametrics for Offline Skill Discovery ICML 2022
Decoupled Self-supervised Learning for Graphs NIPS 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022
On Divergence Measures for Bayesian Pseudocoresets NIPS 2022
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue ACL 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022
Disentangled Spatiotemporal Graph Generative Models AAAI 2022
Conditionally Tractable Density Estimation using Neural Networks AISTATS 2022
Generalised Mutual Information for Discriminative Clustering NIPS 2022
Latent Time Neural Ordinary Differential Equations AAAI 2022
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022
Graph Structure Learning with Variational Information Bottleneck AAAI 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022
Structured Recognition for Generative Models with Explaining Away NIPS 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis NIPS 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization AAAI 2021
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty AAAI 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021