Optimal Explanations of Linear Models

Optimal Explanations of Linear Models

8 July 2019

Dimitris Bertsimas

Patrick Jaillet

Sébastien Martin

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Papers citing "Optimal Explanations of Linear Models"

13 / 13 papers shown

Title
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 114 1,865 0 31 May 2018
Interpretable & Explorable Approximations of Black Box Models Himabindu Lakkaraju Ece Kamar R. Caruana J. Leskovec FAtt 79 254 0 04 Jul 2017
Interpreting Blackbox Models via Model Extraction Osbert Bastani Carolyn Kim Hamsa Bastani FAtt 103 173 0 23 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 420 3,824 0 28 Feb 2017
Simple rules for complex decisions Jongbin Jung Connor Concannon Ravi Shroff Sharad Goel D. Goldstein CML 62 105 0 15 Feb 2017
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 71 1,904 0 28 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,716 0 10 Jun 2016
Scalable Bayesian Rule Lists Hongyu Yang Cynthia Rudin Margo Seltzer TPM 55 211 0 27 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Benjamin Letham Cynthia Rudin Tyler H. McCormick D. Madigan FAtt 72 745 0 05 Nov 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 460 665 0 11 Jul 2015
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification Been Kim Cynthia Rudin J. Shah 81 321 0 03 Mar 2015
Supersparse Linear Integer Models for Optimized Medical Scoring Systems Berk Ustun Cynthia Rudin 134 354 0 15 Feb 2015