Publications associées à Mlpack

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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

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Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Cognitive workload monitoring in virtual reality based rescue missions with drones

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Estimating the non-linear dynamics of free-flying objects

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Cognitive workload monitoring in virtual reality based rescue missions with drones

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Estimating the non-linear dynamics of free-flying objects

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods