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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

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NIPS 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning IJCAI 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022
Robust Deep Learning from Crowds with Belief Propagation AISTATS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
Nonlinear MCMC for Bayesian Machine Learning NIPS 2022
Structured Recognition for Generative Models with Explaining Away NIPS 2022
Sparse Continuous Distributions and Fenchel-Young Losses JMLR 2022
Decoupled Self-supervised Learning for Graphs NIPS 2022
Gaussian Process Boosting JMLR 2022
On Divergence Measures for Bayesian Pseudocoresets NIPS 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022
Generalised Mutual Information for Discriminative Clustering NIPS 2022
Laplacian Autoencoders for Learning Stochastic Representations NIPS 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization NIPS 2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization ICML 2022
Importance Weighted Kernel Bayes’ Rule ICML 2022