Publications associées à Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Graph Chatbot

Chattez avec Graph Search

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

From averaging to acceleration, there is only a step-size

Forecasting Uncertainty in Electricity Demand

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Forecasting Uncertainty in Electricity Demand

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

From averaging to acceleration, there is only a step-size

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES