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A Swiss Army Infinitesimal Jackknife., , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1139-1147. PMLR, (2019)Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data., , , , , , и . CoRR, (2018)Approximate Cross-Validation in High Dimensions with Guarantees., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2424-2434. PMLR, (2020)Approximate Cross-Validation for Structured Models., , , , и . NeurIPS, (2020)Measuring the robustness of Gaussian processes to kernel choice., , , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 3308-3331. PMLR, (2022)Faster and easier: cross-validation and model robustness checks.. Massachusetts Institute of Technology, USA, (2022)Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models., , и . NIPS, стр. 1198-1206. (2015)Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression., , , и . NeurIPS, стр. 24352-24364. (2021)Measuring the sensitivity of Gaussian processes to kernel choice., , , , , и . CoRR, (2021)Approximate Cross-Validation with Low-Rank Data in High Dimensions., , и . NeurIPS, (2020)