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Learning Optimal Prescriptive Trees from Observational Data
v1v2 (latest)

Learning Optimal Prescriptive Trees from Observational Data

31 August 2021
Nathanael Jo
S. Aghaei
Andrés Gómez
P. Vayanos
ArXiv (abs)PDFHTML

Papers citing "Learning Optimal Prescriptive Trees from Observational Data"

9 / 9 papers shown
Learning Fair Policies for Multi-stage Selection Problems from
  Observational Data
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
FaML
302
4
0
20 Dec 2023
Learning Optimal Classification Trees Robust to Distribution Shifts
Learning Optimal Classification Trees Robust to Distribution Shifts
Nathan Justin
S. Aghaei
Andrés Gómez
P. Vayanos
OOD
566
2
0
26 Oct 2023
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription
Patrick Vossler
S. Aghaei
Nathan Justin
Nathanael Jo
Andrés Gómez
P. Vayanos
311
3
0
28 Jul 2023
Learning Prescriptive ReLU Networks
Learning Prescriptive ReLU NetworksInternational Conference on Machine Learning (ICML), 2023
Wei-Ju Sun
Asterios Tsiourvas
330
3
0
01 Jun 2023
Learning Resource Allocation Policies from Observational Data with an
  Application to Homeless Services Delivery
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services DeliveryConference on Fairness, Accountability and Transparency (FAccT), 2022
Aida Rahmattalabi
P. Vayanos
Kathryn Dullerud
Eric Rice
199
25
0
25 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between
  Interpretability, Fairness, and Accuracy
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and AccuracyAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Nathanael Jo
S. Aghaei
A. Gómez
P. Vayanos
FaML
565
29
0
24 Jan 2022
Interpretable Personalized Experimentation
Interpretable Personalized ExperimentationKnowledge Discovery and Data Mining (KDD), 2021
Han Wu
S. Tan
Weiwei Li
Mia Garrard
Adam Obeng
Drew Dimmery
Shaun Singh
Hanson Wang
Daniel R. Jiang
E. Bakshy
226
8
0
05 Nov 2021
Strong Optimal Classification Trees
Strong Optimal Classification TreesOperational Research (OR), 2021
S. Aghaei
Andrés Gómez
P. Vayanos
411
56
0
29 Mar 2021
Robust Active Preference Elicitation
Robust Active Preference Elicitation
P. Vayanos
Yin-Fang Ye
Duncan C. McElfresh
John P. Dickerson
Eric Rice
OffRL
207
15
0
04 Mar 2020
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