approximate inference

253 papers

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Also known as

EM

Co-occurring keywords

variational inference (2069) graphical model (863) bayesian inference (1904) belief propagation (177) gaussian process (1198) probabilistic inference (310) expectation propagation (86) message passing (578) probabilistic graphical model (226) markov chain monte carlo (724)

Papers

Bayesian Score Calibration for Approximate Models JMLR 2025

Approximate Lifted Model Construction IJCAI 2025

Fearless Stochasticity in Expectation Propagation NIPS 2024

Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024

Low-rank Variational Bayes correction to the Laplace method JMLR 2024

VISA: Variational Inference with Sequential Sample-Average Approximations NIPS 2024

Approximate Control for Continuous-Time POMDPs AISTATS 2024

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024

An Approximate Skolem Function Counter AAAI 2024

Reparameterization invariance in approximate Bayesian inference NIPS 2024

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024

Abductive Reasoning in Logical Credal Networks NIPS 2024

Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024

Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023

Approximate Inference in Logical Credal Networks IJCAI 2023

Fast Converging Anytime Model Counting AAAI 2023

Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023

Fast Online Node Labeling for Very Large Graphs ICML 2023

Approximate inference of marginals using the IBIA framework NIPS 2023

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference AAAI 2023

A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NIPS 2023

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NIPS 2023

Massively parallel reweighted wake-sleep UAI 2023

Tractable Uncertainty for Structure Learning ICML 2022

Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022