Exploiting Independent Instruments: Identification and Distribution
Generalization

v1v2 (latest)

Exploiting Independent Instruments: Identification and Distribution Generalization

3 February 2022

Sorawit Saengkyongam

Leonard Henckel

Niklas Pfister

ArXiv (abs)PDF HTML

Papers citing "Exploiting Independent Instruments: Identification and Distribution Generalization"

14 / 14 papers shown

Title
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 148 3 0 04 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 69 0 0 11 Nov 2024
Parameter identification in linear non-Gaussian causal models under general confounding D. Tramontano Mathias Drton Jalal Etesami CML 132 2 0 31 May 2024
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 109 3 0 30 May 2024
Geometry-Aware Instrumental Variable Regression Heiner Kremer Bernhard Schölkopf 83 0 0 19 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 56 1 0 05 Apr 2024
Boosted Control Functions Nicola Gnecco Jonas Peters Sebastian Engelke Niklas Pfister 64 2 0 09 Oct 2023
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 81 16 0 06 Oct 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments Heiner Kremer Yassine Nemmour Bernhard Schölkopf Jia-Jie Zhu 103 7 0 18 May 2023
Sequential Underspecified Instrument Selection for Cause-Effect Estimation Elisabeth Ailer Jason S. Hartford Niki Kilbertus CML 80 4 0 11 Feb 2023
Instrumental Variables in Causal Inference and Machine Learning: A Survey Anpeng Wu Kun Kuang Ruoxuan Xiong Leilei Gan SyDa CML 77 7 0 12 Dec 2022
Identifiability of Sparse Causal Effects using Instrumental Variables Niklas Pfister J. Peters CML 50 10 0 17 Mar 2022
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past Nikolaj Thams Rikke Sondergaard S. Weichwald J. Peters AI4TS CML 62 13 0 11 Mar 2022
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 85 15 0 01 Jun 2021