Publications associées à Sparsest piecewise-linear regression of one-dimensional data

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Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

Sparsest piecewise-linear regression of one-dimensional data

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Structured Dimensionality Reduction for Additive Model Regression

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

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

Regression Analysis of Building Energy Demand

Methodologies for predicting natural frequency variation of a suspension bridge

Micro-Structural Brain Alterations in Aviremic HIV+ Patients with Minor Neurocognitive Disorders: A Multi-Contrast Study at High Field

Compressible distributions for high-dimensional statistics

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

An Adaptive Approach for Online Segmentation of Multi-Dimensional Mobile Data

Chebyshev polynomial approximation for transductive learning on graphs

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

Regression Analysis of Building Energy Demand

Micro-Structural Brain Alterations in Aviremic HIV+ Patients with Minor Neurocognitive Disorders: A Multi-Contrast Study at High Field

Chebyshev polynomial approximation for transductive learning on graphs

Structured Dimensionality Reduction for Additive Model Regression

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

Methodologies for predicting natural frequency variation of a suspension bridge

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Compressible distributions for high-dimensional statistics

An Adaptive Approach for Online Segmentation of Multi-Dimensional Mobile Data