Co-occurring keywords · papers mentioning both
Papers
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
ICLR 2025
Dropout Regularization Versus l2-Penalization in the Linear Model
JMLR 2024
On Least Square Estimation in Softmax Gating Mixture of Experts
ICML 2024
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
COLT 2022
Estimation of Local Average Treatment Effect by Data Combination
AAAI 2022
Learning with little mixing
NeurIPS 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
COLT 2022
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
ICML 2021
A Finite-Sample Deviation Bound for Stable Autoregressive Processes
L4DC 2020
Optimal Estimation and Completion of Matrices with Biclustering Structures
JMLR 2016
Scaled Least Squares Estimator for GLMs in Large-Scale Problems
NeurIPS 2016
Near-optimal max-affine estimators for convex regression
AISTATS 2015
Random Design Analysis of Ridge Regression
COLT 2012