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Exploring the Whole Rashomon Set of Sparse Decision Trees
v1v2 (latest)

Exploring the Whole Rashomon Set of Sparse Decision Trees

Neural Information Processing Systems (NeurIPS), 2022
16 September 2022
Rui Xin
Chudi Zhong
Zhi Chen
Takuya Takagi
Margo Seltzer
Cynthia Rudin
ArXiv (abs)PDFHTML

Papers citing "Exploring the Whole Rashomon Set of Sparse Decision Trees"

48 / 48 papers shown
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
Ethan Hsu
Harry Chen
Chudi Zhong
Lesia Semenova
154
0
0
26 Nov 2025
Many Ways to be Right: Rashomon Sets for Concept-Based Neural Networks
Many Ways to be Right: Rashomon Sets for Concept-Based Neural Networks
Shihan Feng
Cheng Zhang
Michael Xi
Ethan Hsu
Lesia Semenova
Chudi Zhong
163
1
0
24 Nov 2025
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
Elif Arslan
J. G. M. van der Linden
Serge Hoogendoorn
Marco Rinaldi
Emir Demirović
149
2
0
05 Nov 2025
Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
Prakhar Ganesh
Hsiang Hsu
G. Farnadi
148
0
0
24 Oct 2025
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Riccardo Guidotti
Martina Cinquini
Marta Marchiori Manerba
Mattia Setzu
Francesco Spinnato
192
0
0
23 Oct 2025
Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
Jon Donnelly
Srikar Katta
Emanuele Borgonovo
Cynthia Rudin
FAttCML
267
1
0
14 Oct 2025
Efficient & Correct Predictive Equivalence for Decision Trees
Efficient & Correct Predictive Equivalence for Decision Trees
Joao Marques-Silva
Alexey Ignatiev
402
1
0
22 Sep 2025
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and ExplanationsACM Transactions on Knowledge Discovery from Data (TKDD), 2025
Gianlucca L. Zuin
Adriano Veloso
203
0
0
11 Sep 2025
Learning Interpretable Differentiable Logic Networks for Time-Series Classification
Learning Interpretable Differentiable Logic Networks for Time-Series Classification
C. Yue
N. Jha
AI4CE
164
0
0
24 Aug 2025
VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
Yuanzhe Jin
153
0
0
30 Jul 2025
Leveraging Predictive Equivalence in Decision Trees
Leveraging Predictive Equivalence in Decision Trees
Hayden McTavish
Zachery Boner
J. Donnelly
Margo Seltzer
Cynthia Rudin
427
2
0
17 Jun 2025
Unique Rashomon Sets for Robust Active Learning
Unique Rashomon Sets for Robust Active Learning
Simon Nugyen
Kentaro Hoffman
Tyler H. McCormick
316
3
0
13 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-TimeComputer Vision and Pattern Recognition (CVPR), 2025
J. Donnelly
Zhicheng Guo
A. Barnett
Hayden McTavish
Chaofan Chen
Cynthia Rudin
476
13
0
03 Mar 2025
Near Optimal Decision Trees in a SPLIT Second
Near Optimal Decision Trees in a SPLIT Second
Varun Babbar
Hayden McTavish
Cynthia Rudin
Margo Seltzer
422
2
0
21 Feb 2025
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
Lucas Langlade
Julien Ferry
Gabriel Laberge
Thibaut Vidal
334
4
0
07 Feb 2025
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
Gordon Dai
Pavan Ravishankar
Rachel Yuan
Daniel B. Neill
Emily Black
218
11
0
28 Jan 2025
EXAGREE: Mitigating Explanation Disagreement with Stakeholder-Aligned Models
EXAGREE: Mitigating Explanation Disagreement with Stakeholder-Aligned Models
Sichao Li
Tommy Liu
Quanling Deng
Amanda S. Barnard
317
1
0
04 Nov 2024
Improving Decision Sparsity
Improving Decision SparsityNeural Information Processing Systems (NeurIPS), 2024
Yiyang Sun
Tong Wang
Cynthia Rudin
1.1K
0
0
27 Oct 2024
Stabilizing black-box model selection with the inflated argmax
Stabilizing black-box model selection with the inflated argmax
Melissa Adrian
Jake A. Soloff
Rebecca Willett
299
2
0
23 Oct 2024
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
Yu-Shin Huang
Peter Just
Krishna Narayanan
Chao Tian
Ruihong Huang
Chao Tian
357
18
0
06 Oct 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Perceptions of the Fairness Impacts of Multiplicity in Machine LearningInternational Conference on Human Factors in Computing Systems (CHI), 2024
Anna P. Meyer
Yea-Seul Kim
Aws Albarghouthi
Loris DÁntoni
FaML
184
9
0
18 Sep 2024
Practical Attribution Guidance for Rashomon Sets
Practical Attribution Guidance for Rashomon Sets
Sichao Li
Amanda S. Barnard
Quanling Deng
403
5
0
26 Jul 2024
Amazing Things Come From Having Many Good Models
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
365
65
0
05 Jul 2024
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
Faisal Hamman
Pasan Dissanayake
Saumitra Mishra
Freddy Lecue
Sanghamitra Dutta
AAML
372
3
0
04 Jul 2024
Scalable Rule Lists Learning with Sampling
Scalable Rule Lists Learning with SamplingKnowledge Discovery and Data Mining (KDD), 2024
Leonardo Pellegrina
Fabio Vandin
254
2
0
18 Jun 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
329
9
0
05 Jun 2024
Data Science Principles for Interpretable and Explainable AI
Data Science Principles for Interpretable and Explainable AIJournal of Data Science (JDS), 2024
Kris Sankaran
FaML
379
6
0
17 May 2024
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
Varun Babbar
Zhicheng Guo
Cynthia Rudin
424
5
0
08 Mar 2024
Algorithmic Arbitrariness in Content Moderation
Algorithmic Arbitrariness in Content Moderation
Juan Felipe Gomez
Caio Vieira Machado
Lucas Monteiro Paes
Flavio du Pin Calmon
318
29
0
26 Feb 2024
Position: Explain to Question not to Justify
Position: Explain to Question not to Justify
Przemysław Biecek
Wojciech Samek
369
28
0
21 Feb 2024
Kernel KMeans clustering splits for end-to-end unsupervised decision
  trees
Kernel KMeans clustering splits for end-to-end unsupervised decision trees
Louis Ohl
Pierre-Alexandre Mattei
Mickael Leclercq
Arnaud Droit
F. Precioso
226
3
0
19 Feb 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive
  Multiplicity Estimation
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu
Guihong Li
Shaohan Hu
Chun-Fu Chen
Chen
194
18
0
01 Feb 2024
Recourse under Model Multiplicity via Argumentative Ensembling
  (Technical Report)
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
Junqi Jiang
Antonio Rago
Francesco Leofante
Francesca Toni
375
16
0
22 Dec 2023
A Path to Simpler Models Starts With Noise
A Path to Simpler Models Starts With NoiseNeural Information Processing Systems (NeurIPS), 2023
Lesia Semenova
Harry Chen
Ronald E. Parr
Cynthia Rudin
327
31
0
30 Oct 2023
The Utility of "Even if..." Semifactual Explanation to Optimise Positive
  Outcomes
The Utility of "Even if..." Semifactual Explanation to Optimise Positive OutcomesNeural Information Processing Systems (NeurIPS), 2023
Eoin M. Kenny
Weipeng Huang
292
11
0
29 Oct 2023
DyExplainer: Explainable Dynamic Graph Neural Networks
DyExplainer: Explainable Dynamic Graph Neural Networks
Tianchun Wang
Dongsheng Luo
Wei Cheng
Haifeng Chen
Xiang Zhang
248
4
0
25 Oct 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single
  Model-based Variable Importance
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable ImportanceNeural Information Processing Systems (NeurIPS), 2023
J. Donnelly
Srikar Katta
Cynthia Rudin
E. Browne
FAtt
588
34
0
24 Sep 2023
Exploration of the Rashomon Set Assists Trustworthy Explanations for
  Medical Data
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical DataIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Katarzyna Kobyliñska
Mateusz Krzyzinski
Rafal Machowicz
Mariusz Adamek
P. Biecek
215
11
0
22 Aug 2023
An Empirical Evaluation of the Rashomon Effect in Explainable Machine
  Learning
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Sebastian Müller
Vanessa Toborek
Katharina Beckh
Matthias Jakobs
Christian Bauckhage
Pascal Welke
FAtt
419
41
0
27 Jun 2023
Improving the Validity of Decision Trees as Explanations
Improving the Validity of Decision Trees as Explanations
Jiri Nemecek
Tomás Pevný
Jakub Mareˇcek
FAtt
446
0
0
11 Jun 2023
Interactive Decision Tree Creation and Enhancement with Complete
  Visualization for Explainable Modeling
Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling
Boris Kovalerchuk Andrew Dunn
Alex Worland
S. Wagle
188
11
0
28 May 2023
Improving Stability in Decision Tree Models
Improving Stability in Decision Tree Models
Dimitris Bertsimas
V. Digalakis
233
6
0
26 May 2023
The Dataset Multiplicity Problem: How Unreliable Data Impacts
  Predictions
The Dataset Multiplicity Problem: How Unreliable Data Impacts PredictionsConference on Fairness, Accountability and Transparency (FAccT), 2023
Anna P. Meyer
Aws Albarghouthi
Loris Dántoni
339
22
0
20 Apr 2023
Exploring and Interacting with the Set of Good Sparse Generalized
  Additive Models
Exploring and Interacting with the Set of Good Sparse Generalized Additive ModelsNeural Information Processing Systems (NeurIPS), 2023
Chudi Zhong
Zhi Chen
Jiachang Liu
Margo Seltzer
Cynthia Rudin
414
33
0
28 Mar 2023
FasterRisk: Fast and Accurate Interpretable Risk Scores
FasterRisk: Fast and Accurate Interpretable Risk ScoresNeural Information Processing Systems (NeurIPS), 2022
Jiachang Liu
Chudi Zhong
Boxuan Li
Margo Seltzer
Cynthia Rudin
276
37
0
12 Oct 2022
TimberTrek: Exploring and Curating Sparse Decision Trees with
  Interactive Visualization
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive VisualizationVisual .. (VISUAL), 2022
Zijie J. Wang
Chudi Zhong
Rui Xin
Takuya Takagi
Zhi Chen
Duen Horng Chau
Cynthia Rudin
Margo Seltzer
177
26
0
19 Sep 2022
Seeking Interpretability and Explainability in Binary Activated Neural
  Networks
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
514
3
0
07 Sep 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
XAI
345
16
0
19 Aug 2022
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