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Black box machine learning models are currently being used for high stakes decision-making throughout society, causing problems throughout healthcare, criminal justice, and in other domains.
Interpretable machine learning: definitions, methods, and applications
Murdoch WJ, Singh C, Kumbier K, Abbasi-Asl R, Yu B · 1901
Earlier work this paper cites.
Illinois Committee on Indeterminate-Sentence Law and Parole Springfield, IL
Burgess EW. Factors determining success or failure on parole; 1928 · 1928
Earlier work this paper cites.
The magical number seven, plus or minus two: Some limits on our capacity for processing information
Miller G · 1956
Earlier work this paper cites.
Classification and regression trees
Breiman L, Friedman J, Stone CJ, Olshen RA · 1984
Earlier work this paper cites.
Very simple classification rules perform well on most commonly used datasets
Holte RC · 1993
Earlier work this paper cites.
C4. 5: programs for machine learning. vol. 1
Quinlan JR · 1993
Earlier work this paper cites.
The comprehensibility manifesto
Kodratoff Y · 1994
Earlier work this paper cites.
Theory and Applications of Agnostic PAC-Learning with Small Decision Trees
Auer P, Holte RC, Maass W · 1995
Earlier work this paper cites.
From data mining to knowledge discovery in databases
Fayyad U, Piatetsky-Shapiro G, Smyth P · 1996
Earlier work this paper cites.
CRISP-DM 1.0 - Step-by-step data mining guide
Chapman P, et al · 2000
Earlier work this paper cites.
Learning Interpretable Models
Rüping S · 2006
Earlier work this paper cites.
Classifier Technology and the Illusion of Progress
Hand D · 2006
Earlier work this paper cites.
Evaluating the Predictive Validity of the COMPAS Risk and Needs Assessment System
Brennan T, Dieterich W, Ehret B · 2009
Earlier work this paper cites.
The magical mystery four how is working memory capacity limited, and why?
Cowan N · 2010
Earlier work this paper cites.
A Process for Predicting Manhole Events In Manhattan
Rudin C, Passonneau R, Radeva A, Dutta H, Ierome S, Isaac D · 2010
Earlier work this paper cites.
Binarized support vector machines
Carrizosa E, Martín-Barragán B, Morales DR · 2010
Earlier work this paper cites.
Finding a Short and Accurate Decision Rule in Disjunctive Normal Form by Exhaustive Search
Rijnbeek PR, Kors JA · 2010
Earlier work this paper cites.
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
Huysmans J, Dejaeger K, Mues C, Vanthienen J, Baesens B · 2011
Earlier work this paper cites.
Challenges and Opportunities with Big Data: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association; 2012
Agrawal D, Bernstein P, Bertino E, Davidson S, Dayal U, Franklin M, et al · 2012
Earlier work this paper cites.
How to Reverse-Engineer Quality Rankings
Chang A, Rudin C, Cavaretta M, Thomas R, Chou G · 2012
Earlier work this paper cites.
Intelligible Models for Classification and Regression
Lou Y, Caruana R, Gehrke J · 2012
Earlier work this paper cites.
Accurate Intelligible Models with Pairwise Interactions
Lou Y, Caruana R, Gehrke J, Hooker G · 2013
Earlier work this paper cites.
Which method predicts recidivism best?: a comparison of statistical, machine learning and data mining predictive models
Tollenaar N, van der Heijden PGM · 2013
Cited alongside, same era.
Comprehensible classification models: a position paper
Freitas AA · 2014
Cited alongside, same era.
Public domain image
O’Malley D. Clay-colored Sparrow; 2014 · 2014
Cited alongside, same era.
Box Drawings for Learning with Imbalanced Data
Goh ST, Rudin C · 2014
Cited alongside, same era.
Falling Rule Lists
Wang F, Rudin C · 2015
Cited alongside, same era.
Supersparse linear integer models for optimized medical scoring systems
Ustun B, Rudin C · 2015
Cited alongside, same era.
Public domain image
Public domain image
Schmierer A. Clay-colored Sparrow; 2017 · 2017
Later among the works it cites.
Cross-Spectral Factor Analysis
Gallagher N, et al · 2017
Later among the works it cites.
A Bayesian Framework for Learning Rule Sets for Interpretable Classification
Wang T, Rudin C, Doshi-Velez F, Liu Y, Klampfl E, MacNeille P · 2017
Later among the works it cites.
How bad is Sacramento’s air, exactly? Google results appear at odds with reality, some say
McGough M · 2018
Closest in time.
Learning Credible Models
Wang J, Oh J, Wang H, Wiens J · 2018
Closest in time.
Please Stop Explaining Black Box Models for High Stakes Decisions
Rudin C · 2018
Closest in time.
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Schmierer A. Clay-colored Sparrow; 2015 · 2015
Cited alongside, same era.
Public domain image
Schmierer A. Clay-colored Sparrow; 2015 · 2015
Cited alongside, same era.
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors
Razavian N, et al · 2015
Cited alongside, same era.
On the safety of machine learning: Cyber-physical systems, decision sciences, and data products
Varshney KR, Alemzadeh H · 2016
Cited alongside, same era.
Monotonic calibrated interpolated look-up tables
Gupta M, Cotter A, Pfeifer J, Voevodski K, Canini K, Mangylov A, et al · 2016
Cited alongside, same era.
Published August 10
Defense Advanced Research Projects Agency. Broad Agency Announcement, Explainable Artificial Intelligence (XAI), DARPA-BAA-16-53; 2016 · 2016
Cited alongside, same era.
Rudin C, Ustun B · 2018
Closest in time.
An Interpretable Model with Globally Consistent Explanations for Credit Risk
Chen C, Lin K, Rudin C, Shaposhnik Y, Wang S, Wang T · 2018
Closest in time.
The age of secrecy and unfairness in recidivism prediction
Rudin C, Wang C, Coker B · 2018
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Certifiably optimal rule lists for categorical data
Angelino E, Larus-Stone N, Alabi D, Seltzer M, Rudin C · 2018
Closest in time.
Air quality in the USA
Mannshardt E, Naess L · 2018
Closest in time.
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Zech JR, et al · 2018
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Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Wachter S, Mittelstadt B, Russell C · 2018
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An optimization approach to learning falling rule lists
Chen C, Rudin C · 2018
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A Provable Algorithm for Learning Interpretable Scoring Systems
Sokolovska N, Chevaleyre Y, Zucker JD · 2018
Closest in time.
Public domain image
ksblack99. Clay-colored Sparrow; 2018 · 2018
Closest in time.
Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions
Li O, Liu H, Chen C, Rudin C · 2018
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Modeling recovery curves with application to prostatectomy
Wang F, Rudin C, Mccormick TH, Gore JL · 2018
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A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning; 2018
Semenova L, Parr R, Rudin C · 2018
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Boolean Decision Rules via Column Generation
Dash S, Günlük O, Wei D · 2018
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Explaining Explanations in AI
Mittelstadt B, Russell C, Wachter S · 2019
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Actionable Recourse in Linear Classification
Ustun B, Spangher A, Liu Y · 2019
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