Partial Identification with Noisy Covariates: A Robust Optimization
Approach

Partial Identification with Noisy Covariates: A Robust Optimization Approach

22 February 2022

Michael I. Jordan

Papers citing "Partial Identification with Noisy Covariates: A Robust Optimization Approach"

11 / 11 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 54 2 0 05 Nov 2024
Learning Representations of Instruments for Partial Identification of Treatment Effects J. Schweisthal Dennis Frauen Maresa Schröder Konstantin Hess Niki Kilbertus Stefan Feuerriegel CML 34 1 0 11 Oct 2024
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 32 3 0 13 Oct 2023
The Blessings of Multiple Treatments and Outcomes in Treatment Effect Estimation Yong Wu Mingzhou Liu Jing Yan Yanwei Fu Shouyan Wang Yizhou Wang Xinwei Sun CML 15 1 0 29 Sep 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 19 11 0 02 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 33 18 0 26 May 2023
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance F. Farokhi 18 12 0 15 Feb 2023
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 29 19 0 14 Oct 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
An Automated Approach to Causal Inference in Discrete Settings Guilherme Duarte N. Finkelstein D. Knox Jonathan Mummolo I. Shpitser 31 48 0 28 Sep 2021
Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying Wang Miao Xu Shi E. T. Tchetgen 32 39 0 15 Sep 2021