Leveraging Predictive Equivalence in Decision Trees

17 June 2025

Papers citing "Leveraging Predictive Equivalence in Decision Trees"

26 / 26 papers shown

Title
Amazing Things Come From Having Many Good Models Cynthia Rudin Chudi Zhong Lesia Semenova Margo Seltzer Ronald E. Parr Jiachang Liu Srikar Katta Jon Donnelly Harry Chen Zachery Boner 88 28 0 05 Jul 2024
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values Lena Stempfle Fredrik D. Johansson 78 3 0 23 Nov 2023
A Path to Simpler Models Starts With Noise Lesia Semenova Harry Chen Ronald E. Parr Cynthia Rudin 58 17 0 30 Oct 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance J. Donnelly Srikar Katta Cynthia Rudin E. Browne FAtt 66 17 0 24 Sep 2023
The Missing Indicator Method: From Low to High Dimensions Mike Van Ness Tomas M. Bosschieter Roberto Halpin-Gregorio Madeleine Udell AI4TS 55 17 0 16 Nov 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 63 58 0 16 Sep 2022
Sharing pattern submodels for prediction with missing values Lena Stempfle Ashkan Panahi Fredrik D. Johansson 47 7 0 22 Jun 2022
Classification of datasets with imputed missing values: does imputation quality matter? Tolou Shadbahr M. Roberts Jan Stanczuk J. Gilbey P. Teare ... T. Mirtti A. Rannikko J. Aston Jing Tang Carola-Bibiane Schönlieb 56 57 0 16 Jun 2022
Predictive Multiplicity in Probabilistic Classification J. Watson-Daniels David C. Parkes Berk Ustun 56 41 0 02 Jun 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 72 64 0 20 May 2022
A Theory of PAC Learnability of Partial Concept Classes N. Alon Steve Hanneke R. Holzman Shay Moran 62 52 0 18 Jul 2021
What's a good imputation to predict with missing values? Marine Le Morvan Julie Josse Erwan Scornet Gaël Varoquaux AI4TS 72 66 0 01 Jun 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 218 673 0 20 Mar 2021
MurTree: Optimal Classification Trees via Dynamic Programming and Search Emir Demirović Anna Lukina E. Hébrard Jeffrey Chan James Bailey C. Leckie K. Ramamohanarao Peter Stuckey 84 64 0 24 Jul 2020
Generalized and Scalable Optimal Sparse Decision Trees Jimmy J. Lin Chudi Zhong Diane Hu Cynthia Rudin Margo Seltzer 66 146 0 15 Jun 2020
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 76 87 0 08 May 2020
Born-Again Tree Ensembles Thibaut Vidal Toni Pacheco Maximilian Schiffer 108 54 0 24 Mar 2020
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 123 146 0 14 Sep 2019
On the Existence of Simpler Machine Learning Models Lesia Semenova Cynthia Rudin Ronald E. Parr 61 86 0 05 Aug 2019
BEST : A decision tree algorithm that handles missing values Cédric Beaulac Jeffrey S. Rosenthal 40 25 0 26 Apr 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 404 5 0 14 Apr 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
Prediction with Missing Data via Bayesian Additive Regression Trees A. Kapelner J. Bleich 92 78 0 03 Jun 2013
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 231 4,324 0 04 May 2011