An Evaluation Toolkit to Guide Model Selection and Cohort Definition in
Causal Inference

An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference

2 June 2019

Tan Hung Marie Ng

Yaara Goldschmidt

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Papers citing "An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference"

19 / 19 papers shown

Title
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data Seungyeon Lee Ruoqi Liu Feixiong Cheng Ping Zhang 58 0 0 31 Dec 2024
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration Jiehui Zhou Xumeng Wang Kam-Kwai Wong Wei Zhang Xingyu Liu Juntian Zhang Minfeng Zhu Wei Chen CML 52 0 0 02 Jul 2024
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development Yanming Zhang Brette Fitzgibbon Dino Garofolo Akshith Kota Eric Papenhausen Klaus Mueller CML 74 6 0 23 Dec 2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions Xian Teng Yongsu Ahn Y. Lin CML 64 5 0 26 Jul 2023
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation Damian Machlanski Spyridon Samothrakis Paul Clarke ELM CML 80 9 0 02 Mar 2023
Causalvis: Visualizations for Causal Inference G. Guo Ehud Karavani Alex Endert Bum Chul Kwon CML 60 14 0 01 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 85 26 0 14 Feb 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 70 2 0 01 Feb 2023
Propensity score models are better when post-calibrated R. Gutman Ehud Karavani Y. Shimoni 97 4 0 02 Nov 2022
Grasping Causality for the Explanation of Criticality for Automated Driving Tjark Koopmann Christian Neurohr Lina Putze Lukas Westhofen Roman Gansch Ahmad Adee 68 5 0 27 Oct 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 75 31 0 20 Jan 2022
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees Guy Wolf G. Shabat H. Shteingart 77 1 0 07 Nov 2021
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data Samuel Ackerman E. Farchi Orna Raz Marcel Zalmanovici Maya Zohar 50 3 0 11 Oct 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 102 23 0 20 Jul 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 69 13 0 22 Jun 2021
RealCause: Realistic Causal Inference Benchmarking Brady Neal Chin-Wei Huang Sunand Raghupathi CML ELM 72 34 0 30 Nov 2020
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation Kristjan Greenewald Dmitriy A. Katz-Rogozhnikov Karthikeyan Shanmugam CML 99 9 0 03 Nov 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 151 85 0 19 Oct 2020
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 283 288 0 09 Jul 2017