conftrace_

approximate bayesian computation

33 papers

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Also known as

ABC

Co-occurring keywords

likelihood-free inference (47) bayesian inference (1907) kernel methods (1097) generative model (2892) simulation-based inference (31) posterior distribution (259) markov chain monte carlo (725) neural network (6616) posterior inference (138) surrogate model (181)

Papers

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Learning Robust Statistics for Simulation-based Inference under Model Misspecification NIPS 2023
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023
Pseudo-Likelihood Inference NIPS 2023
On Transportation of Mini-batches: A Hierarchical Approach ICML 2022
Approximate Bayesian Computation via Classification JMLR 2022
Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022
Score Matched Neural Exponential Families for Likelihood-Free Inference JMLR 2022
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021
Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories MLHC 2021
Benchmarking Simulation-Based Inference AISTATS 2021
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Likelihood-free MCMC with Amortized Approximate Ratio Estimators ICML 2020
Robust Optimisation Monte Carlo AISTATS 2020
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation ICML 2019
Adaptive Gaussian Copula ABC AISTATS 2019
Predictive Approximate Bayesian Computation via Saddle Points NIPS 2018
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Asymptotically exact inference in differentiable generative models AISTATS 2017
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression ICML 2016