TimberTrek: Exploring and Curating Sparse Decision Trees with
Interactive Visualization

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization

19 September 2022

Zhi Chen

Duen Horng Chau

Papers citing "TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization"

7 / 7 papers shown

Title
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
Canvil: Designerly Adaptation for LLM-Powered User Experiences K. J. Kevin Feng Q. V. Liao Ziang Xiao Jennifer Wortman Vaughan Amy X. Zhang David W. McDonald 26 16 0 17 Jan 2024
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
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu J. W. Vaughan R. Caruana KELM 54 27 0 30 Jun 2022
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics Zijie J. Wang David Munechika Seongmin Lee Duen Horng Chau GNN 20 10 0 08 May 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
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016