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Optimal Sparse Decision Trees

Optimal Sparse Decision Trees

29 April 2019
Xiyang Hu
Cynthia Rudin
Margo Seltzer
ArXivPDFHTML

Papers citing "Optimal Sparse Decision Trees"

38 / 38 papers shown
Title
Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees
Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees
Andrew Quijano
Spyros T. Halkidis
Kevin Gallagher
Kemal Akkaya
Nikolaos Samaras
17
0
0
04 May 2025
Unique Rashomon Sets for Robust Active Learning
Simon Nugyen
Kentaro Hoffman
Tyler H. McCormick
66
0
0
13 Mar 2025
ODTE -- An ensemble of multi-class SVM-based oblique decision trees
ODTE -- An ensemble of multi-class SVM-based oblique decision trees
Ricardo Montañana
J. A. Gamez
J. M. Puerta
65
0
0
20 Nov 2024
Efficient Exploration of the Rashomon Set of Rule Set Models
Efficient Exploration of the Rashomon Set of Rule Set Models
Martino Ciaperoni
Han Xiao
Aristides Gionis
25
3
0
05 Jun 2024
Learning accurate and interpretable tree-based models
Learning accurate and interpretable tree-based models
Maria-Florina Balcan
Dravyansh Sharma
44
7
0
24 May 2024
Online Learning of Decision Trees with Thompson Sampling
Online Learning of Decision Trees with Thompson Sampling
Ayman Chaouki
Jesse Read
Albert Bifet
21
2
0
09 Apr 2024
Probabilistic Truly Unordered Rule Sets
Probabilistic Truly Unordered Rule Sets
Lincen Yang
M. Leeuwen
31
0
0
18 Jan 2024
Optimal Survival Trees: A Dynamic Programming Approach
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman
J. G. M. van der Linden
Emir Demirović
16
5
0
09 Jan 2024
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
John X. Morris
Chandan Singh
Alexander M. Rush
Jianfeng Gao
Yuntian Deng
VLM
LRM
27
17
0
21 Oct 2023
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
Arman Rahbar
Niklas Åkerblom
M. Chehreghani
28
0
0
21 Aug 2023
A Novel Memetic Strategy for Optimized Learning of Classification Trees
A Novel Memetic Strategy for Optimized Learning of Classification Trees
Tommaso Aldinucci
14
0
0
13 May 2023
Rolling Lookahead Learning for Optimal Classification Trees
Rolling Lookahead Learning for Optimal Classification Trees
Z. B. Organ
Enis Kayış
Taghi Khaniyev
13
0
0
21 Apr 2023
An Interpretable Loan Credit Evaluation Method Based on Rule
  Representation Learner
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner
Zi-yu Chen
Xiaomeng Wang
Yuanjiang Huang
Tao Jia
35
1
0
03 Apr 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
50
39
0
24 Oct 2022
Margin Optimal Classification Trees
Margin Optimal Classification Trees
Federico DÓnofrio
G. Grani
Marta Monaci
L. Palagi
23
10
0
19 Oct 2022
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal
  Treatment Regimes and Optimal Policy Design
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
23
2
0
13 Oct 2022
TimberTrek: Exploring and Curating Sparse Decision Trees with
  Interactive Visualization
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
33
14
0
19 Sep 2022
Why we do need Explainable AI for Healthcare
Why we do need Explainable AI for Healthcare
Giovanni Cina
Tabea E. Rober
Rob Goedhart
Ilker Birbil
32
14
0
30 Jun 2022
bsnsing: A decision tree induction method based on recursive optimal
  boolean rule composition
bsnsing: A decision tree induction method based on recursive optimal boolean rule composition
Yan-ching Liu
33
6
0
30 May 2022
On Tackling Explanation Redundancy in Decision Trees
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
48
58
0
20 May 2022
Sparse Bayesian Optimization
Sparse Bayesian Optimization
Sulin Liu
Qing Feng
David Eriksson
Benjamin Letham
E. Bakshy
30
7
0
03 Mar 2022
Uncovering the Source of Machine Bias
Uncovering the Source of Machine Bias
Xiyang Hu
Yan-ping Huang
Beibei Li
Tian Lu
FaML
17
2
0
09 Jan 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative
  Distribution Functions
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li
Yue Zhao
Xiyang Hu
N. Botta
C. Ionescu
George H. Chen
29
281
0
02 Jan 2022
Interpretable Decision Trees Through MaxSAT
Interpretable Decision Trees Through MaxSAT
Josep Alós
Carlos Ansótegui
Eduard Torres
FAtt
19
8
0
26 Oct 2021
Coresets for Decision Trees of Signals
Coresets for Decision Trees of Signals
Ibrahim Jubran
Ernesto Evgeniy Sanches Shayda
I. Newman
Dan Feldman
22
17
0
07 Oct 2021
Synthesizing Pareto-Optimal Interpretations for Black-Box Models
Synthesizing Pareto-Optimal Interpretations for Black-Box Models
Hazem Torfah
Shetal Shah
Supratik Chakraborty
S. Akshay
S. Seshia
30
6
0
16 Aug 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
22
2
0
21 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaML
AI4CE
LRM
59
653
0
20 Mar 2021
Slow-Growing Trees
Slow-Growing Trees
Philippe Goulet Coulombe
31
1
0
02 Mar 2021
Connecting Interpretability and Robustness in Decision Trees through
  Separation
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz
Yao-Yuan Yang
Kamalika Chaudhuri
33
22
0
14 Feb 2021
On Explaining Decision Trees
On Explaining Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
24
85
0
21 Oct 2020
COPOD: Copula-Based Outlier Detection
COPOD: Copula-Based Outlier Detection
Zheng Li
Yue Zhao
N. Botta
C. Ionescu
Xiyang Hu
30
285
0
20 Sep 2020
Optimal Decision Trees for Nonlinear Metrics
Optimal Decision Trees for Nonlinear Metrics
Emir Demirović
Peter J. Stuckey
11
20
0
15 Sep 2020
Born-Again Tree Ensembles
Born-Again Tree Ensembles
Thibaut Vidal
Toni Pacheco
Maximilian Schiffer
62
53
0
24 Mar 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations
Learning Optimal Classification Trees: Strong Max-Flow Formulations
S. Aghaei
A. Gómez
P. Vayanos
AI4CE
9
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
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
22
34
0
04 Jun 2019
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
60
195
0
06 Apr 2017
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
17
82
0
01 Oct 2016
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