FasterRisk: Fast and Accurate Interpretable Risk Scores

FasterRisk: Fast and Accurate Interpretable Risk Scores

12 October 2022

Papers citing "FasterRisk: Fast and Accurate Interpretable Risk Scores"

11 / 11 papers shown

Title
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
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 54 2 0 28 Jan 2025
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models Jiachang Liu Rui Zhang Cynthia Rudin 19 0 0 24 Oct 2024
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 26 23 0 05 Jul 2024
MISS: Multiclass Interpretable Scoring Systems Michal K. Grzeszczyk Tomasz Trzciñski Arkadiusz Sitek 22 0 0 10 Jan 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
Feature Importance Measurement based on Decision Tree Sampling Chao Huang Diptesh Das Koji Tsuda FAtt 16 2 0 25 Jul 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 16 20 0 17 Feb 2023
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 31 39 0 24 Oct 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 33 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 57 83 0 08 May 2020