Partial Identification with Noisy Covariates: A Robust Optimization Approach

22 February 2022

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

9 / 9 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 239 5 0 05 Nov 2024
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 409 4 0 13 Oct 2023
Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying Wang Miao Xu Shi E. T. Tchetgen 85 40 0 15 Sep 2021
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 148 376 0 05 Jun 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 70 423 0 20 Oct 2018
Orthogonal Machine Learning: Power and Limitations Lester W. Mackey Vasilis Syrgkanis Ilias Zadik 159 42 0 01 Nov 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 211 747 0 24 May 2017
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 162 686 0 17 Feb 2016
Instrumentality Tests Revisited Blai Bonet 79 91 0 10 Jan 2013