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Measure Transport with Kernel Stein Discrepancy., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1054-1062. PMLR, (2021)Integration in reproducing kernel Hilbert spaces of Gaussian kernels., , and . CoRR, (2020)A Bayesian Conjugate Gradient Method., , and . CoRR, (2018)Stein Point Markov Chain Monte Carlo., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1011-1021. PMLR, (2019)Stein Points., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 843-852. PMLR, (2018)Probabilistic Iterative Methods for Linear Systems., , , and . CoRR, (2020)Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1027-1035. PMLR, (2021)Reinforcement Learning for Adaptive MCMC., , , and . CoRR, (2024)Scalable Monte Carlo for Bayesian Learning., , , and . CoRR, (2024)Meta-learning Control Variates: Variance Reduction with Limited Data., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2047-2057. PMLR, (2023)