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Estimation and Inference with Trees and Forests in High Dimensions

7 July 2020

Papers citing "Estimation and Inference with Trees and Forests in High Dimensions"

20 / 20 papers shown

Title
Statistical Advantages of Oblique Randomized Decision Trees and Forests Eliza O'Reilly 43 2 0 02 Jul 2024
Hidden Variables unseen by Random Forests Ricardo Blum M. Hiabu E. Mammen J. T. Meyer 96 0 0 19 Jun 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 60 0 0 13 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 84 32 0 04 Mar 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 219 1 0 22 Feb 2024
Consistency of Random Forest Type Algorithms under a Probabilistic Impurity Decrease Condition Ricardo Blum M. Hiabu E. Mammen J. T. Meyer 25 2 0 04 Sep 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions Abhineet Agarwal Anish Agarwal Suhas Vijaykumar CML 72 9 0 24 Mar 2023
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions Kazuhiko Shinoda T. Hoshino CML 68 0 0 26 Dec 2022
Consistency of Oblique Decision Tree and its Boosting and Random Forest Haoran Zhan Yu Liu Yingcun Xia 45 3 0 23 Nov 2022
Convergence Rates of Oblique Regression Trees for Flexible Function Libraries M. D. Cattaneo Rajita Chandak Jason M. Klusowski 91 12 0 26 Oct 2022
FACT: High-Dimensional Random Forests Inference Chien-Ming Chi Yingying Fan Jinchi Lv 69 2 0 04 Jul 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 102 3 0 22 May 2022
Label Ranking through Nonparametric Regression Dimitris Fotakis Alkis Kalavasis Eleni Psaroudaki 41 5 0 04 Nov 2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds Yan Shuo Tan Abhineet Agarwal Bin Yu 79 11 0 18 Oct 2021
Automatic Debiased Machine Learning via Riesz Regression Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis OOD CML 72 4 0 30 Apr 2021
Large Scale Prediction with Decision Trees Jason M. Klusowski Peter M. Tian 68 46 0 28 Apr 2021
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score Alejandro Schuler D. Walsh D.F. Hall J. Walsh Charles K. Fisher 95 35 0 17 Dec 2020
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 84 107 0 14 Sep 2018
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models Denis Nekipelov Vira Semenova Vasilis Syrgkanis 113 20 0 13 Jun 2018
Debiased Machine Learning of Set-Identified Linear Models Vira Semenova 137 5 0 28 Dec 2017