Publications associées à Bayes-optimal Learning of Deep Random Networks of Extensive-width

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Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Bayes-optimal Learning of Deep Random Networks of Extensive-width

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Sparsistency of $\ell_1$-Regularized $M$-Estimators

EMG-based learning approach for estimating wrist motion

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

A Probabilistic Kernel Method for Human Mobility Prediction with Smartphones

Methodologies for predicting natural frequency variation of a suspension bridge

SVR vs MLP for Phone Duration Modelling in HMM-based Speech Synthesis

SVR vs MLP for Phone Duration Modelling in HMM-based Speech Synthesis

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

Exploratory Analysis of Endogeneity in Discrete Choice Models

EMG-based learning approach for estimating wrist motion

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

A Probabilistic Kernel Method for Human Mobility Prediction with Smartphones

Methodologies for predicting natural frequency variation of a suspension bridge

SVR vs MLP for Phone Duration Modelling in HMM-based Speech Synthesis

Sparsistency of $\ell_1$-Regularized $M$-Estimators

SVR vs MLP for Phone Duration Modelling in HMM-based Speech Synthesis

Exploratory Analysis of Endogeneity in Discrete Choice Models