regression function

Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022 Distribution-free inference for regression: discrete, continuous, and in between NeurIPS 2021 Moment Multicalibration for Uncertainty Estimation COLT 2021 On the Minimal Error of Empirical Risk Minimization COLT 2021 Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019 Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise ICML 2019 Non-Asymptotic Uniform Rates of Consistency for k-NN Regression AAAI 2019 Universal consistency and minimax rates for online Mondrian Forests NeurIPS 2017 On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015 Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013 Plug-in Approach to Active Learning JMLR 2012 Pointwise Tracking the Optimal Regression Function NeurIPS 2012