Adaptive debiased machine learning using data-driven model selection techniques

24 July 2023

Papers citing "Adaptive debiased machine learning using data-driven model selection techniques"

5 / 5 papers shown

Title
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference Lars van der Laan David Hubbard Allen Tran Nathan Kallus Aurélien F. Bibaut OffRL 39 0 0 12 Jan 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 37 2 0 05 Nov 2024
Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data Mark van der Laan Sky Qiu L. Laan Lars van der Laan 22 8 0 12 May 2024
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 27 21 0 27 Dec 2019
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 79 2,708 0 18 Aug 2015