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On the Value of Target Data in Transfer Learning., and . CoRR, (2020)Adaptivity to Noise Parameters in Nonparametric Active Learning., , and . COLT, volume 65 of Proceedings of Machine Learning Research, page 1383-1416. PMLR, (2017)Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning.. AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1320-1328. PMLR, (2017)Regression-tree Tuning in a Streaming Setting., and . NIPS, page 1788-1796. (2013)Optimal rates for k-NN density and mode estimation., and . NIPS, page 2555-2563. (2014)PAC-Bayes Tree: weighted subtrees with guarantees., and . NeurIPS, page 9504-9512. (2018)k-NN Regression Adapts to Local Intrinsic Dimension.. NIPS, page 729-737. (2011)Gradient Weights help Nonparametric Regressors., and . NIPS, page 2870-2878. (2012)Gaussian Sketching yields a J-L Lemma in RKHS., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3928-3937. PMLR, (2020)Gradients Weights improve Regression and Classification., , , and . J. Mach. Learn. Res., (2016)