conftrace_

nonparametric regression

111 papers

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Co-occurring keywords

kernel methods (1097) gaussian process (1200) additive model (48) convergence rate (607) variable selection (146) kernel regression (87) bayesian inference (1907) regret bound (1926) minimax rate (87) derivative estimation (10)

Papers

Dimension Reduction and MARS JMLR 2023
The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension JMLR 2023
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NIPS 2023
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023
Tracking Most Significant Shifts in Nonparametric Contextual Bandits NIPS 2023
Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022
Nonparametric Principal Subspace Regression JMLR 2022
A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022
Label Ranking through Nonparametric Regression ICML 2022
Adaptively Partitioning Max-Affine Estimators for Convex Regression AISTATS 2022
Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022
Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021
Crystallization Learning with the Delaunay Triangulation ICML 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
Certainty Equivalent Perception-Based Control L4DC 2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021
Sparse Tensor Additive Regression JMLR 2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021
Locally private online change point detection NIPS 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain NIPS 2021
Differentially Private Nonparametric Regression Under a Growth Condition COLT 2021
A Nonparametric Off-Policy Policy Gradient AISTATS 2020