Showing 1–20 of 36 results
/ Date/ Name
Aug 17, 2023Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral SamplingMay 31, 2018Generative Ratio Matching NetworksFeb 27, 2019Adaptive Gaussian Copula ABCJun 18, 2015Simultaneous Estimation of Non-Gaussian Components and their Correlation StructureJan 14, 2015Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical ModelsApr 25, 2013Direct Learning of Sparse Changes in Markov Networks by Density Ratio EstimationNov 3, 2021Implicit Deep Adaptive Design: Policy-Based Experimental Design without LikelihoodsMay 1, 2023Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic RegressionNov 25, 2021Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataMar 16, 2025Simulation-based Bayesian inference under model misspecificationMay 12, 2023Designing Optimal Behavioral Experiments Using Machine LearningJun 21, 2019Adaptive Approximate Bayesian Computation Tolerance SelectionOct 23, 2018Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)Apr 1, 2019Robust Optimisation Monte CarloMar 20, 2020Sequential Bayesian Experimental Design for Implicit Models via Mutual InformationMay 22, 2017VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational LearningOct 23, 2025Neural Mutual Information Estimation with Vector CopulasNov 17, 2025Fast and Robust Simulation-Based Inference With Optimization Monte CarloMay 7, 2026Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement LearningJun 22, 2020Telescoping Density-Ratio Estimation