Treatment Effect Risk: Bounds and Inference

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Treatment Effect Risk: Bounds and Inference

15 January 2022

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Papers citing "Treatment Effect Risk: Bounds and Inference"

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Title
Rejoinder: New Objectives for Policy Learning Nathan Kallus 74 1 0 05 Dec 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 131 338 0 23 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 191 327 0 29 Apr 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 56 27 0 30 Dec 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 55 11 0 04 Jun 2019
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 182 136 0 07 Jun 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 202 784 0 14 Nov 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 225 359 0 11 Nov 2013
Performance guarantees for individualized treatment rules Min Qian Susan Murphy 324 559 0 17 May 2011
Fast learning rates for plug-in classifiers Jean-Yves Audibert Alexandre B. Tsybakov 587 469 0 17 Aug 2007
Quantile and Probability Curves Without Crossing Victor Chernozhukov Iván Fernández-Val Alfred Galichon 617 522 0 27 Apr 2007