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Monte Carlo Filtering Using Kernel Embedding of Distributions., , , и . AAAI, стр. 1897-1903. AAAI Press, (2014)Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings., , и . CoRR, (2017)Convergence guarantees for kernel-based quadrature rules in misspecified settings., , и . NIPS, стр. 3288-3296. (2016)Recovering Distributions from Gaussian RKHS Embeddings., и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 457-465. JMLR.org, (2014)Simulator Calibration under Covariate Shift with Kernels., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1244-1253. PMLR, (2020)Kernel Recursive ABC: Point Estimation with Intractable Likelihood., , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 2405-2414. PMLR, (2018)Counterfactual Mean Embeddings., , , и . J. Mach. Learn. Res., (2021)Unsupervised group matching with application to cross-lingual topic matching without alignment information., , , и . Data Min. Knowl. Discov., 31 (2): 350-370 (2017)Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes., , и . CoRR, (2021)Convergence Guarantees for Adaptive Bayesian Quadrature Methods., и . NeurIPS, стр. 6234-6245. (2019)