Non-Parametric Inference Adaptive to Intrinsic Dimension

11 January 2019

Papers citing "Non-Parametric Inference Adaptive to Intrinsic Dimension"

13 / 13 papers shown

Title
Explaining the Success of Nearest Neighbor Methods in Prediction George H. Chen Devavrat Shah OOD 563 145 0 21 Feb 2025
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension Jisu Kim Jaehyeok Shin Alessandro Rinaldo Larry A. Wasserman 73 32 0 13 Oct 2018
Local Linear Forests R. Friedberg J. Tibshirani Susan Athey Stefan Wager 126 92 0 30 Jul 2018
Orthogonal Random Forest for Causal Inference Miruna Oprescu Vasilis Syrgkanis Zhiwei Steven Wu CML 62 111 0 09 Jun 2018
Orthogonal Machine Learning: Power and Limitations Lester W. Mackey Vasilis Syrgkanis Ilias Zadik 136 42 0 01 Nov 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 314 1,357 0 05 Oct 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 443 135 0 25 Apr 2016
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 188 358 0 11 Nov 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 260 1,402 0 27 May 2013
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? Nakul Verma Samory Kpotufe S. Dasgupta 151 85 0 09 May 2012
k-NN Regression Adapts to Local Intrinsic Dimension Samory Kpotufe 368 128 0 19 Oct 2011
Analysis of a Random Forests Model Gérard Biau 150 1,393 0 03 May 2010
Rodeo: Sparse, greedy nonparametric regression John D. Lafferty Larry A. Wasserman 184 137 0 12 Mar 2008