approximate bayesian computation

Predictive Approximate Bayesian Computation via Saddle Points NeurIPS 2018 Asymptotically exact inference in differentiable generative models AISTATS 2017 Flexible statistical inference for mechanistic models of neural dynamics NeurIPS 2017 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression ICML 2016 Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NeurIPS 2016 K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015 Accelerating ABC methods using Gaussian processes AISTATS 2014 ABC Reinforcement Learning ICML 2013 Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NeurIPS 2013