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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

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables JMLR 2023
ARTree: A Deep Autoregressive Model for Phylogenetic Inference NIPS 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation CVPR 2023
The Bayesian Learning Rule JMLR 2023
Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023
Neural Dynamic Focused Topic Model AAAI 2023
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Stochastic Approximation Algorithms for Systems of Interacting Particles NIPS 2023
Provable convergence guarantees for black-box variational inference NIPS 2023
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making NIPS 2023
On permutation symmetries in Bayesian neural network posteriors: a variational perspective NIPS 2023
State and parameter learning with PARIS particle Gibbs ICML 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation NIPS 2023
Conditional Matrix Flows for Gaussian Graphical Models NIPS 2023
Approximate inference of marginals using the IBIA framework NIPS 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023
Stochastic Generative Flow Networks UAI 2023
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023
Max-Sliced Mutual Information NIPS 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
Implicit Variational Inference for High-Dimensional Posteriors NIPS 2023
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field ACL 2023