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Fundamentals and Recent Developments in Approximate Bayesian Computation, , , , and . (2017)Privacy-preserving data sharing via probabilistic modelling., , , , , and . CoRR, (2019)Interactive AI with a Theory of Mind., , , and . CoRR, (2019)Scalable Probabilistic Matrix Factorization with Graph-Based Priors., , , and . AAAI, page 5851-5858. AAAI Press, (2020)Likelihood-free inference with deep Gaussian processes., , , , and . Comput. Stat. Data Anal., (2022)Deep Convolutional Gaussian Processes., , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 582-597. Springer, (2019)Representation transfer for differentially private drug sensitivity prediction., , , and . Bioinform., 35 (14): i218-i224 (2019)Functional elements and networks in fMRI., , , and . ESANN, page 561-566. (2007)Embarrassingly Parallel MCMC using Deep Invertible Transformations., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1244-1252. AUAI Press, (2019)Variational zero-inflated Gaussian processes with sparse kernels., , and . UAI, page 361-371. AUAI Press, (2018)