A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results

23 April 2018

Papers citing "A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results"

8 / 8 papers shown

Title
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 64 2 0 28 Jan 2025
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 28 23 0 05 Jul 2024
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models Chudi Zhong Zhi Chen Jiachang Liu Margo Seltzer Cynthia Rudin 33 11 0 28 Mar 2023
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 43 54 0 16 Sep 2022
On the Existence of Simpler Machine Learning Models Lesia Semenova Cynthia Rudin Ronald E. Parr 26 85 0 05 Aug 2019
Veridical Data Science Bin Yu Karl Kumbier 20 162 0 23 Jan 2019
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models Jiayun Dong Cynthia Rudin FAtt 20 25 0 10 Jan 2019
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 62 195 0 06 Apr 2017