Jannis Kueck

activity

20162026

L_{2}

Boosting: Rate of Convergence

19 citations · 26 across the 11 of their papers we have counts for

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3 papers · 1 filter

stat.ML2025

Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators

Sven Klaassen, Jan Rabenseifner, Jannis Kueck +1

The partitioning of data for estimation and calibration critically impacts the performance of propensity score based estimators like inverse probability weighting (IPW) and double/…

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.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…

Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators

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

High-Dimensional L2​Boosting: Rate of Convergence

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

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