Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to
Unobserved Confounding

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Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding

3 March 2020

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Papers citing "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding"

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Title
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 444 4 0 13 Oct 2023
Non-parametric identifiability and sensitivity analysis of synthetic control models Jakob Zeitler Athanasios Vlontzos Ciarán M. Gilligan-Lee CML 57 6 0 18 Jan 2023
Quantitative probing: Validating causal models using quantitative domain knowledge Daniel Grünbaum M. L. Stern E. Lang 55 6 0 07 Sep 2022
Long Story Short: Omitted Variable Bias in Causal Machine Learning Victor Chernozhukov Carlos Cinelli Whitney Newey Amit Sharma Vasilis Syrgkanis CML 66 37 0 26 Dec 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 75 26 0 27 Aug 2021
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction Z. Bozorgi Irene Teinemaa Marlon Dumas M. Rosa Artem Polyvyanyy 46 35 0 15 May 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding Andrew Jesson Sören Mindermann Y. Gal Uri Shalit CML 90 56 0 08 Mar 2021
Technology Readiness Levels for AI & ML Alexander Lavin Ajay Sharma VLM 113 110 0 21 Jun 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