B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under
Hidden Confounding

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B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding

International Conference on Machine Learning (ICML), 2023

20 April 2023

Marah Ghoummaid

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Papers citing "B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding"

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Title
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference Ayush Khot Miruna Oprescu Maresa Schröder Ai Kagawa Xihaier Luo CML 100 1 0 09 Oct 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsInternational Conference on Learning Representations (ICLR), 2024 Yuxin Wang Maresa Schröder Dennis Frauen Jonas Schweisthal Konstantin Hess Stefan Feuerriegel CML 429 5 0 16 Dec 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal LearnerNeural Information Processing Systems (NeurIPS), 2024 Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 455 5 0 05 Nov 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes Andrew Bennett Nathan Kallus Miruna Oprescu Wen Sun Kaiwen Wang AAML OffRL 214 2 0 29 Mar 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials Piersilvio De Bartolomeis Javier Abad Konstantin Donhauser Fanny Yang CML 214 10 0 06 Dec 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 275 19 0 19 Nov 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity ModelNeural Information Processing Systems (NeurIPS), 2023 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 465 13 0 02 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden ConfoundingInternational Conference on Learning Representations (ICLR), 2023 Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 169 8 0 01 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity AnalysisNeural Information Processing Systems (NeurIPS), 2023 Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 324 25 0 26 May 2023