Adaptive Hyper-box Matching for Interpretable Individualized Treatment
Effect Estimation

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Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation

3 March 2020

Vittorio Orlandi

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Papers citing "Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation"

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Title
A primer on optimal transport for causal inference with observational data Florian F Gunsilius OT CML 121 0 0 10 Mar 2025
Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics Marco Morucci Cynthia Rudin A. Volfovsky CML FedML 52 1 0 03 Apr 2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes Chirag Nagpal Vedant Sanil A. Dubrawski CML 69 1 0 24 Feb 2023
Variable Importance Matching for Causal Inference Quinn Lanners Harsh Parikh A. Volfovsky Cynthia Rudin David Page CML 95 1 0 23 Feb 2023
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 110 16 0 16 Jun 2022
Estimating causal effects with optimization-based methods: A review and empirical comparison Martin Cousineau V. Verter Susan Murphy J. Pineau CML 40 9 0 28 Feb 2022
Matching for causal effects via multimarginal unbalanced optimal transport F. Gunsilius Yuliang Xu CML OT 93 5 0 08 Dec 2021
MALTS: Matching After Learning to Stretch Harsh Parikh Cynthia Rudin A. Volfovsky 62 25 0 18 Nov 2018
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect Tong Wang Cynthia Rudin CML BDL 92 27 0 16 Oct 2017
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference Tianyu Wang Cynthia Rudin M. Usaid Awan Yameng Liu Sudeepa Roy Cynthia Rudin A. Volfovsky 133 51 0 19 Jul 2017