Amazing Things Come From Having Many Good Models

Amazing Things Come From Having Many Good Models

5 July 2024

Cynthia Rudin

Jon Donnelly

Papers citing "Amazing Things Come From Having Many Good Models"

14 / 14 papers shown

Title
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users Julian Rosenberger Philipp Schröppel Sven Kruschel Mathias Kraus Patrick Zschech Maximilian Förster FAtt 19 0 0 11 May 2025
Unique Rashomon Sets for Robust Active Learning Simon Nugyen Kentaro Hoffman Tyler H. McCormick 47 0 0 13 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 52 0 0 03 Mar 2025
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty Kacper Sokol Eyke Hüllermeier 49 2 0 24 Feb 2025
Near Optimal Decision Trees in a SPLIT Second Varun Babbar Hayden McTavish Cynthia Rudin Margo Seltzer 31 0 0 21 Feb 2025
Rashomon perspective for measuring uncertainty in the survival predictive maintenance models Yigitcan Yardimci Mustafa Cavus 31 2 0 16 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 54 2 0 28 Jan 2025
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning Sichao Li Quanling Deng Amanda S. Barnard 25 0 0 04 Nov 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 19 1 0 18 Sep 2024
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits Sahil Sidheekh Pranuthi Tenali Saurabh Mathur Erik Blasch Kristian Kersting S. Natarajan 27 1 0 05 Mar 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 33 2 0 15 Feb 2024
Fast and Interpretable Mortality Risk Scores for Critical Care Patients Chloe Qinyu Zhu Muhang Tian Lesia Semenova Jiachang Liu Jack Xu Joseph Scarpa Cynthia Rudin 23 3 0 21 Nov 2023
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 25 53 0 16 Sep 2022
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 54 83 0 08 May 2020