Stochastic Causal Programming for Bounding Treatment Effects

22 February 2022

Papers citing "Stochastic Causal Programming for Bounding Treatment Effects"

22 / 22 papers shown

Title
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 45 0 0 24 Feb 2025
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments Jordan Penn L. Gunderson Gecia Bravo Hermsdorff Ricardo M. A. Silva David S. Watson 24 0 0 11 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 26 1 0 11 Oct 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments J. Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 37 3 0 04 Jun 2024
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 44 1 0 30 May 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
Bounding Causal Effects with Leaky Instruments David S. Watson Jordan Penn L. Gunderson Gecia Bravo Hermsdorff Afsaneh Mastouri Ricardo M. A. Silva CML 21 1 0 05 Apr 2024
Counterfactual Fairness Is Not Demographic Parity, and Other Observations Ricardo Silva 15 2 0 05 Feb 2024
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 26 10 0 27 Nov 2023
Towards Bounding Causal Effects under Markov Equivalence Alexis Bellot CML 19 5 0 13 Nov 2023
Tightening Bounds on Probabilities of Causation By Merging Datasets Numair Sani Atalanti A. Mastakouri 21 1 0 12 Oct 2023
Approximate Causal Effect Identification under Weak Confounding Ziwei Jiang Lai Wei Murat Kocaoglu CML 23 0 0 22 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 13 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
Bounding probabilities of causation through the causal marginal problem Numair Sani Atalanti A. Mastakouri Dominik Janzing CML 18 3 0 04 Apr 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 35 4 0 07 Mar 2023
Sequential Underspecified Instrument Selection for Cause-Effect Estimation Elisabeth Ailer Jason S. Hartford Niki Kilbertus CML 14 3 0 11 Feb 2023
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 20 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 25 7 0 24 Apr 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson A. Douglas P. Manshausen Maelys Solal N. Meinshausen P. Stier Y. Gal Uri Shalit CML 18 26 0 21 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
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 169 50 0 03 Jun 2021