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GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation.

, and . UAI, page 593-602. AUAI Press, (2014)

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GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation., and . UAI, page 593-602. AUAI Press, (2014)Hamiltonian ABC., , and . UAI, page 582-591. AUAI Press, (2015)Capturing actionable dynamics with structured latent ordinary differential equations., , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 286-295. PMLR, (2022)Deterministic Variational Inference for Robust Bayesian Neural Networks., , , , , and . ICLR, OpenReview.net, (2019)Modeling Dyadic Data with Binary Latent Factors., , , and . NIPS, page 977-984. MIT Press, (2006)Deterministic Variational Inference for Robust Bayesian Neural Networks, , , , , and . International Conference on Learning Representations, (2019)Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4445-4455. PMLR, (2019)Soft Weight-Sharing for Neural Network Compression., , and . ICLR (Poster), OpenReview.net, (2017)Learning stick-figure models using nonparametric Bayesian priors over trees., , , and . CVPR, IEEE Computer Society, (2008)POPE: post optimization posterior evaluation of likelihood free models., , , , , and . BMC Bioinform., (2015)