Ye Luo

activity

20162020

L_{2}

Boosting: Rate of Convergence

19 citations · 20 across the 4 of their papers we have counts for

collaborators

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3 papers · 1 filter

stat.ML2018

Estimation and Inference of Treatment Effects with $L_{2}$ -Boosting in High-Dimensional Settings

Jannis Kueck, Ye Luo, Martin Spindler +1

Empirical researchers are increasingly faced with rich data sets containing many controls or instrumental variables, making it essential to choose an appropriate approach to variab…

stat.ML2017★ 1 cited

$L_{2}$ Boosting for Economic Applications

Ye Luo, Martin Spindler

In the recent years more and more high-dimensional data sets, where the number of parameters $p$ is high compared to the number of observations $n$ or even larger, are available fo…

stat.ML2016★ 19 cited

High-Dimensional $L_{2}$ Boosting: Rate of Convergence

Ye Luo, Martin Spindler, Jannis Kück

Boosting is one of the most significant developments in machine learning. This paper studies the rate of convergence of $L_{2}$ Boosting, which is tailored for regression, in a high-d…

Estimation and Inference of Treatment Effects with L2​-Boosting in High-Dimensional Settings

L2​Boosting for Economic Applications

High-Dimensional L2​Boosting: Rate of Convergence

Estimation and Inference of Treatment Effects with $L_{2}$ -Boosting in High-Dimensional Settings

$L_{2}$ Boosting for Economic Applications

High-Dimensional $L_{2}$ Boosting: Rate of Convergence