← Keywords

likelihood-free inference

47 papers

Explore in graph

Also known as

LFIRE LFHT LFI

Co-occurring keywords

approximate bayesian computation (33) bayesian inference (1904) simulation-based inference (31) posterior distribution (259) markov chain monte carlo (724) posterior inference (138) kernel methods (1096) gaussian process (1198) hypothesis testing (254) density ratio estimation (48)

Papers

Neural Bayes estimators for censored inference with peaks-over-threshold models JMLR 2024
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NIPS 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023
Minimax optimal testing by classification COLT 2023
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023
Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing NIPS 2023
Differentiable user models UAI 2023
Pseudo-Likelihood Inference NIPS 2023
Score Matched Neural Exponential Families for Likelihood-Free Inference JMLR 2022
Approximate Bayesian Computation via Classification JMLR 2022
Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NIPS 2021
Truncated Marginal Neural Ratio Estimation NIPS 2021
Likelihood-free Out-of-Distribution Detection with Invertible Generative Models IJCAI 2021
Benchmarking Simulation-Based Inference AISTATS 2021
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting ICML 2020
Likelihood-free MCMC with Amortized Approximate Ratio Estimators ICML 2020