nonparametric regression

Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022 Label Ranking through Nonparametric Regression ICML 2022 Nonparametric Principal Subspace Regression JMLR 2022 Single Trajectory Nonparametric Learning of Nonlinear Dynamics COLT 2022 Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021 BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain NeurIPS 2021 Certainty Equivalent Perception-Based Control L4DC 2021 Conformal Prediction using Conditional Histograms NeurIPS 2021 Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021 Crystallization Learning with the Delaunay Triangulation ICML 2021 Differentially Private Nonparametric Regression Under a Growth Condition COLT 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021 KPC: Learning-Based Model Predictive Control with Deterministic Guarantees L4DC 2021 Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021 Locally private online change point detection NeurIPS 2021 Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021 Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021 Optimal Dynamic Regret in Exp-Concave Online Learning COLT 2021 **Paper retracted by author request (see pdf for retraction notice from the authors)** Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping COLT 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Sparse Tensor Additive Regression JMLR 2021 Adaptive Online Estimation of Piecewise Polynomial Trends NeurIPS 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 A Statistical Learning Approach to Modal Regression JMLR 2020 Censored Quantile Regression Forest AISTATS 2020