Long Story Short: Omitted Variable Bias in Causal Machine Learning

Long Story Short: Omitted Variable Bias in Causal Machine Learning

26 December 2021

Victor Chernozhukov

Vasilis Syrgkanis

Papers citing "Long Story Short: Omitted Variable Bias in Causal Machine Learning"

15 / 15 papers shown

Title
Segment Discovery: Enhancing E-commerce Targeting Qiqi Li Roopali Singh Charin Polpanumas Tanner Fiez Namita Kumar Shreya Chakrabarti 48 1 0 31 Dec 2024
Isolated Causal Effects of Natural Language Victoria Lin Louis-Philippe Morency Eli Ben-Michael CML 36 1 0 18 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 43 1 0 12 Oct 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 80 1 0 15 Sep 2024
Multiply-Robust Causal Change Attribution Victor Quintas-Martinez M. T. Bahadori Eduardo Santiago Jeff Mu Dominik Janzing David Heckerman CML 34 1 0 12 Apr 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes Andrew Bennett Nathan Kallus M. Oprescu Wen Sun Kaiwen Wang AAML OffRL 53 1 0 29 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 36 29 0 04 Mar 2024
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray Framework Vishal Verma Vinod Reddy Jaiprakash Ravi 29 0 0 22 Jan 2024
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding M. Oprescu Jacob Dorn Marah Ghoummaid Andrew Jesson Nathan Kallus Uri Shalit CML FedML 24 24 0 20 Apr 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders David Bruns-Smith Angela Zhou OffRL 18 9 0 01 Feb 2023
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 16 4 0 19 Dec 2022
Distributionally Robust Causal Inference with Observational Data Dimitris Bertsimas Kosuke Imai Michael Lingzhi Li OOD 53 9 0 15 Oct 2022
Quantitative probing: Validating causal models using quantitative domain knowledge Daniel Grünbaum M. L. Stern E. Lang 20 5 0 07 Sep 2022
Partial Identification of Dose Responses with Hidden Confounders Myrl G. Marmarelis E. Haddad Andrew Jesson N. Jahanshad Aram Galstyan Greg Ver Steeg CML 33 7 0 24 Apr 2022
Rethinking recidivism through a causal lens Vik Shirvaikar C. Lakshminarayan CML 39 0 0 19 Nov 2020