nonparametric regression

Optimal Neural Network Approximation of Smooth Compositional Functions on Sets with Low Intrinsic Dimension COLT 2026 Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals JMLR 2026 The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation JMLR 2025 Locally Private Estimation with Public Features AISTATS 2025 Minimax-optimal and Locally-adaptive Online Nonparametric Regression ALT 2025 Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps UAI 2025 Nonparametric Modern Hopfield Models ICML 2025 Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression ICLR 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate ICML 2025 State Space Models are Provably Comparable to Transformers in Dynamic Token Selection ICLR 2025 causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery CLeaR 2024 Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024 Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 Efficient Agnostic Learning with Average Smoothness ALT 2024 Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024 More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NeurIPS 2024 Nonparametric Regression for 3D Point Cloud Learning JMLR 2024 Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024 Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NeurIPS 2024