conftrace_

non-parametric regression

26 papers

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Co-occurring keywords

quantile regression (95) kernel ridge regression (111) conditional distribution (64) convergence rate (607) prediction interval (67) random forest (326) adaptive estimation (12) kernel regression (87) high-dimensional regression (142) minimax estimation (37)

Papers

Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024
On the Convergence of CART under Sufficient Impurity Decrease Condition NIPS 2023
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021
Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees L4DC 2021
Conformal Prediction using Conditional Histograms NIPS 2021
Optimal Dynamic Regret in Exp-Concave Online Learning COLT 2021
Censored Quantile Regression Forest AISTATS 2020
On Semi-parametric Inference for BART ICML 2020
Minimax Estimation of Conditional Moment Models NIPS 2020
Adaptive Online Estimation of Piecewise Polynomial Trends NIPS 2020
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up NIPS 2019
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NIPS 2019
Active Learning for Non-Parametric Regression Using Purely Random Trees NIPS 2018
Extrapolating Expected Accuracies for Large Multi-Class Problems JMLR 2018
Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression JMLR 2017
Online Non-Parametric Regression COLT 2014
Fast Distribution To Real Regression AISTATS 2014
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Adaptivity to Local Smoothness and Dimension in Kernel Regression NIPS 2013
Optimal aggregation of affine estimators COLT 2011
Multivariate Dyadic Regression Trees for Sparse Learning Problems NIPS 2010
Non-parametric Regression Between Manifolds NIPS 2008