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Learning with many experts: model selection and sparsity., и . CoRR, (2014)Conditional independence testing: a predictive perspective., , и . CoRR, (2019)Hierarchical clustering: Visualization, feature importance and model selection., , и . Appl. Soft Comput., (июля 2023)The NN-Stacking: Feature weighted linear stacking through neural networks., , и . Neurocomputing, (2020)A unified framework for dataset shift diagnostics., , , , и . CoRR, (2022)Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference., , , , , и . Astron. Comput., (2020)Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 2323-2334. PMLR, (2020)MeLIME: Meaningful Local Explanation for Machine Learning Models., , , и . CoRR, (2020)A unified framework for dataset shift diagnostics., , , , и . Inf. Sci., (ноября 2023)High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation., , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 420-429. JMLR.org, (2014)