Optimal Sparse Decision Trees

29 April 2019

Papers citing "Optimal Sparse Decision Trees"

44 / 44 papers shown

Title
Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees Andrew Quijano Spyros T. Halkidis Kevin Gallagher Kemal Akkaya Nikolaos Samaras 24 0 0 04 May 2025
Unique Rashomon Sets for Robust Active Learning Simon Nugyen Kentaro Hoffman Tyler H. McCormick 74 0 0 13 Mar 2025
ODTE -- An ensemble of multi-class SVM-based oblique decision trees Ricardo Montañana J. A. Gamez J. M. Puerta 75 0 0 20 Nov 2024
Efficient Exploration of the Rashomon Set of Rule Set Models Martino Ciaperoni Han Xiao Aristides Gionis 42 3 0 05 Jun 2024
Learning accurate and interpretable tree-based models Maria-Florina Balcan Dravyansh Sharma 54 7 0 24 May 2024
Online Learning of Decision Trees with Thompson Sampling Ayman Chaouki Jesse Read Albert Bifet 29 2 0 09 Apr 2024
Probabilistic Truly Unordered Rule Sets Lincen Yang M. Leeuwen 36 0 0 18 Jan 2024
Optimal Survival Trees: A Dynamic Programming Approach Tim Huisman J. G. M. van der Linden Emir Demirović 26 5 0 09 Jan 2024
Tree Prompting: Efficient Task Adaptation without Fine-Tuning John X. Morris Chandan Singh Alexander M. Rush Jianfeng Gao Yuntian Deng VLM LRM 36 19 0 21 Oct 2023
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach Arman Rahbar Niklas Åkerblom M. Chehreghani 33 0 0 21 Aug 2023
Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case Tommaso Aldinucci Matteo Lapucci 34 0 0 01 Jun 2023
A Novel Memetic Strategy for Optimized Learning of Classification Trees Tommaso Aldinucci 19 0 0 13 May 2023
Rolling Lookahead Learning for Optimal Classification Trees Z. B. Organ Enis Kayış Taghi Khaniyev 21 0 0 21 Apr 2023
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner Zi-yu Chen Xiaomeng Wang Yuanjiang Huang Tao Jia 46 1 0 03 Apr 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 60 39 0 24 Oct 2022
Margin Optimal Classification Trees Federico DÓnofrio G. Grani Marta Monaci L. Palagi 33 10 0 19 Oct 2022
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design Ali Behrouz Mathias Lécuyer Cynthia Rudin Margo Seltzer OffRL 30 2 0 13 Oct 2022
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization Zijie J. Wang Chudi Zhong Rui Xin Takuya Takagi Zhi Chen Duen Horng Chau Cynthia Rudin Margo Seltzer 43 14 0 19 Sep 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 43 54 0 16 Sep 2022
Why we do need Explainable AI for Healthcare Giovanni Cina Tabea E. Rober Rob Goedhart Ilker Birbil 37 14 0 30 Jun 2022
bsnsing: A decision tree induction method based on recursive optimal boolean rule composition Yan-ching Liu 38 6 0 30 May 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 48 59 0 20 May 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt 45 7 0 19 May 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 38 7 0 03 Mar 2022
Framework for Evaluating Faithfulness of Local Explanations S. Dasgupta Nave Frost Michal Moshkovitz FAtt 124 61 0 01 Feb 2022
Uncovering the Source of Machine Bias Xiyang Hu Yan-ping Huang Beibei Li Tian Lu FaML 19 2 0 09 Jan 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions Zheng Li Yue Zhao Xiyang Hu N. Botta C. Ionescu George H. Chen 43 282 0 02 Jan 2022
Multiclass Optimal Classification Trees with SVM-splits V. Blanco Alberto Japón J. Puerto 18 6 0 16 Nov 2021
Interpretable Decision Trees Through MaxSAT Josep Alós Carlos Ansótegui Eduard Torres FAtt 19 8 0 26 Oct 2021
Coresets for Decision Trees of Signals Ibrahim Jubran Ernesto Evgeniy Sanches Shayda I. Newman Dan Feldman 25 18 0 07 Oct 2021
Synthesizing Pareto-Optimal Interpretations for Black-Box Models Hazem Torfah Shetal Shah Supratik Chakraborty S. Akshay S. Seshia 36 6 0 16 Aug 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 46 2 0 21 Apr 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 61 655 0 20 Mar 2021
Slow-Growing Trees Philippe Goulet Coulombe 38 1 0 02 Mar 2021
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz Yao-Yuan Yang Kamalika Chaudhuri 33 22 0 14 Feb 2021
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees Haoran Zhu Pavankumar Murali Dzung Phan Lam M. Nguyen Jayant Kalagnanam 17 37 0 06 Nov 2020
On Explaining Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 29 85 0 21 Oct 2020
COPOD: Copula-Based Outlier Detection Zheng Li Yue Zhao N. Botta C. Ionescu Xiyang Hu 32 285 0 20 Sep 2020
Optimal Decision Trees for Nonlinear Metrics Emir Demirović Peter Stuckey 27 21 0 15 Sep 2020
Born-Again Tree Ensembles Thibaut Vidal Toni Pacheco Maximilian Schiffer 64 53 0 24 Mar 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations S. Aghaei A. Gómez P. Vayanos AI4CE 21 26 0 21 Feb 2020
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis Cynthia Rudin David Carlson HAI 30 34 0 04 Jun 2019
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 62 195 0 06 Apr 2017
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 25 82 0 01 Oct 2016