Polynomial regression under arbitrary product distributions
type: Item
instance of: scholarly article
title: Polynomial regression under arbitrary product distributions
zbMATH Open document ID: 1470.68084
author: Eric Blais
author: Ryan O'Donnell
author: Karl Wimmer
published in: Machine Learning
publication date: 2010-10-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62J02
zbMATH DE Number: 5796877
zbMATH Keywords: agnostic learning
zbMATH Keywords: polynomial regression
zbMATH Keywords: linear threshold functions
zbMATH Keywords: noise sensitivity
MaRDI profile type: Publication
full work available at URL: s10994-010-5179-6
OpenAlex ID: W2065015368
cites work: Noise sensitivity of Boolean functions and applications to percolation
cites work: Support-vector networks
cites work: Learning Mixtures of Product Distributions over Discrete Domains
cites work: PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption
cites work: Hardness of Learning Halfspaces with Noise
cites work: A slight sharpening of LMN
cites work: A Class of Statistics with Asymptotically Normal Distribution
cites work: Agnostically Learning Halfspaces
cites work: Applications of ANOVA type decompositions for comparisons of conditional variance statistics including jackknife estimates
cites work: Toward efficient agnostic learning
cites work: Learning intersections and thresholds of halfspaces
cites work: Constant depth circuits, Fourier transform, and learnability
cites work: Q5595902
cites work: Noise stability of functions with low influences: invariance and optimality
cites work: New degree bounds for polynomial threshold functions
cites work: Noise stability of weighted majority
cites work: An Efron-Stein inequality for nonsymmetric statistics
cites work: A theory of the learnable
cites work: On the Asymptotic Distribution of Differentiable Statistical Functions
DOI: 10.1007/S10994-010-5179-6
description: scientific article; zbMATH DE number 5796877