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likelihood-free inference

47 papers

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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

Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020
On Contrastive Learning for Likelihood-free Inference ICML 2020
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019
A Generative Adversarial Density Estimator CVPR 2019
ELFI: Engine for Likelihood-Free Inference JMLR 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks NIPS 2018
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Wasserstein Learning of Deep Generative Point Process Models NIPS 2017
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NIPS 2016
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NIPS 2015
Accelerating ABC methods using Gaussian processes AISTATS 2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014
ABC Reinforcement Learning ICML 2013