Publications associées à High-dimensional statistics

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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

High-dimensional statistics

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Robustness of classifiers: from adversarial to random noise

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

Accurate Directional Inference for Vector Parameters in Linear Exponential Families

Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection

Model-based Sketching and Recovery with Expanders

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Compressible distributions for high-dimensional statistics

Recent Progress in Polymorphism-Based Population Genetic Inference

Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints

Low-rank Matrix Approximation Using Point-wise Operators

Accurate Directional Inference for Vector Parameters in Linear Exponential Families

Robustness of classifiers: from adversarial to random noise

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

Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection

Model-based Sketching and Recovery with Expanders

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Compressible distributions for high-dimensional statistics

Recent Progress in Polymorphism-Based Population Genetic Inference

Low-rank Matrix Approximation Using Point-wise Operators

Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints