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Gaussian Processes on Distributions based on Regularized Optimal Transport., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 4986-5010. PMLR, (2023)Entropic Variable Boosting for Explainability and Interpretability in Machine Learning., , , and . CoRR, (2018)Regret Analysis of Dyadic Search., , , and . CoRR, (2022)Composite likelihood estimation for a Gaussian process under fixed domain asymptotics., , and . J. Multivar. Anal., (2019)Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions., , , and . PRICAI (2), volume 11671 of Lecture Notes in Computer Science, page 107-120. Springer, (2019)Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design., , , , and . SIAM/ASA J. Uncertain. Quantification, 7 (4): 1369-1397 (2019)Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints., , and . SIAM J. Math. Data Sci., 4 (2): 772-800 (June 2022)A Gaussian Process Regression Model for Distribution Inputs, , , and . (2017)cite arxiv:1701.09055.Local Identifiability of Deep ReLU Neural Networks: the Theory., , and . NeurIPS, (2022)Fair Online Bilateral Trade., , , and . CoRR, (2024)