Publications related to Ridge regression

Uncertainty quantification in unfolding elementary particle spectra at the Large Hadron Collider

This thesis studies statistical inference in the high energy physics unfolding problem, which is an ill-posed inverse problem arising in data analysis at the Large Hadron Collider (LHC) at CERN. Any measurement made at the LHC is smeared by the finite reso ...

EPFL2016

Modeling, Regression and Optimization

Julien Léo Billeter

This lecture describes the following topics: • Preamble on Linear Algebra • Dynamic and Static Models • Solving Dynamic and Static Models • Solving Regression Problems • Solving Static and Dynamic Optimization Probl ...

2016

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

Dimitri Nestor Alice Van De Ville, Stephan Morgenthaler, Thomas William Arthur Bolton, Maria Giulia Preti, Djalel Eddine Meskaldji

An important question in neuroscience is to reveal the relationship between individual performance and brain activity. This could be achieved by applying model regression techniques, in which functional connectivity derived from resting-state functional ma ...

Ieee2016

Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

Seismic Simultaneous Source Separation via Patchwise Sparse Representation

Pascal Frossard, Yiren Zhou

The concept of simultaneous source has recently become of interest in seismic exploration, due to its efficient or economic acquisition or both. The blended data overlapped between shot records are acquired in simultaneous source acquisition. Separating th ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

Ali H. Sayed

In many fields, and especially in the medical and social sciences and in recommender systems, data are gathered through clinical studies or targeted surveys. Participants are generally reluctant to respond to all questions in a survey or they may lack info ...

IEEE2016

Characterization of the Solution of Linear Inverse Problems with Generalized TV Regularization

Michaël Unser

Ill-posed inverse problems are often constrained by imposing a bound on the total variation of the solution. Here, we consider a generalized version of total-variation regularization that is tied to some differential operator L. We then show that the gener ...

OSA2016

Joint absorption and phase retrieval in grating-based x-ray radiography

Michaël Unser, Emrah Bostan, Masih Nilchian, Marco Stampanoni, Mohammad Reza Nilchiyan

Given the raw absorption and differential phase-contrast images obtained from a grating-based x-ray radiography, we formulate the joint denoising of the absorption image and retrieval of the non-differential phase image as a regularized inverse problem. Th ...

Optical Society of America2016

Source Localization on Graphs via l1 Recovery and Spectral Graph Theory

Pierre Vandergheynst, Xavier Bresson, Rodrigo Cerqueira Gonzalez Pena

We cast the problem of source localization on graphs as the simultaneous problem of sparse recovery and diffusion ker- nel learning. An l1 regularization term enforces the sparsity constraint while we recover the sources of diffusion from a single snapshot ...

Ieee2016

Stability Analysis of Discontinuous Galerkin Approximations to the Elastodynamics Problem

Alfio Quarteroni

We consider semi-discrete discontinuous Galerkin approximations of both displacement and displacement-stress formulations of the elastodynamics problem. We prove the stability analysis in the natural energy norm and derive optimal a-priori error estimates. ...

Springer Verlag2016

Ridge regression

Graph Chatbot

Chat with Graph Search

Uncertainty quantification in unfolding elementary particle spectra at the Large Hadron Collider

Modeling, Regression and Optimization

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

Estimation Error of the Constrained Lasso

Seismic Simultaneous Source Separation via Patchwise Sparse Representation

Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

Characterization of the Solution of Linear Inverse Problems with Generalized TV Regularization

Joint absorption and phase retrieval in grating-based x-ray radiography

Source Localization on Graphs via l1 Recovery and Spectral Graph Theory

Stability Analysis of Discontinuous Galerkin Approximations to the Elastodynamics Problem

Uncertainty quantification in unfolding elementary particle spectra at the Large Hadron Collider

Estimation Error of the Constrained Lasso

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

Joint absorption and phase retrieval in grating-based x-ray radiography

Modeling, Regression and Optimization

Seismic Simultaneous Source Separation via Patchwise Sparse Representation

Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

Characterization of the Solution of Linear Inverse Problems with Generalized TV Regularization

Source Localization on Graphs via l1 Recovery and Spectral Graph Theory

Stability Analysis of Discontinuous Galerkin Approximations to the Elastodynamics Problem