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

Flat Seeking Bayesian Neural Networks NIPS 2023

Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023

Generative Semantic Segmentation CVPR 2023

Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023

Variational Inference with Gaussian Score Matching NIPS 2023

Compositional Score Modeling for Simulation-Based Inference ICML 2023

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023

Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023

Riemannian Laplace approximations for Bayesian neural networks NIPS 2023

Transport Elliptical Slice Sampling AISTATS 2023

Undirected Probabilistic Model for Tensor Decomposition NIPS 2023

{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023

A Fair Generative Model Using LeCam Divergence AAAI 2023

Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023

BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023

Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023

GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023

Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NIPS 2023

An improved variational approximate posterior for the deep Wishart process UAI 2023

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023

Indeterminacy in Generative Models: Characterization and Strong Identifiability AISTATS 2023

Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling ACL 2023

Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NIPS 2023

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference ICML 2023