nonparametric regression

Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Transformers are Minimax Optimal Nonparametric In-Context Learners NeurIPS 2024 A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023 Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? ICLR 2023 Dimension Reduction and MARS JMLR 2023 Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions NeurIPS 2023 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023 Nonparametric Iterative Machine Teaching ICML 2023 On the Convergence of CART under Sufficient Impurity Decrease Condition NeurIPS 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 Posterior Contraction for Deep Gaussian Process Priors JMLR 2023 Selective Nonparametric Regression via Testing ACML 2023 The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension JMLR 2023 Tracking Most Significant Shifts in Nonparametric Contextual Bandits NeurIPS 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 Adaptively Partitioning Max-Affine Estimators for Convex Regression AISTATS 2022 Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022 A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022 A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS ICLR 2022 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022