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Optimal Policy Trees

Optimal Policy Trees

Machine-mediated learning (ML), 2020
3 December 2020
Maxime Amram
Jack Dunn
Ying Daisy Zhuo
    CMLOffRL
ArXiv (abs)PDFHTML

Papers citing "Optimal Policy Trees"

14 / 14 papers shown
Adaptive Forests For Classification
Adaptive Forests For Classification
Dimitris Bertsimas
Yubing Cui
79
0
0
27 Oct 2025
Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization
Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization
Caio de Prospero Iglesias
Kimberly Villalobos Carballo
Dimitris Bertsimas
141
0
0
09 Sep 2025
Robust personalized pricing under uncertainty of purchase probabilities
Robust personalized pricing under uncertainty of purchase probabilities
Shunnosuke Ikeda
Naoki Nishimura
Noriyoshi Sukegawa
Yuichi Takano
213
3
0
22 Jul 2024
Policy Trees for Prediction: Interpretable and Adaptive Model Selection
  for Machine Learning
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
Dimitris Bertsimas
Matthew Peroni
OffRL
225
1
0
30 May 2024
Fairness Implications of Heterogeneous Treatment Effect Estimation with
  Machine Learning Methods in Policy-making
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making
Patrick Rehill
Nicholas Biddle
SyDaCML
185
3
0
02 Sep 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
276
2
0
28 Jul 2023
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
A Machine Learning Approach to Two-Stage Adaptive Robust OptimizationEuropean Journal of Operational Research (EJOR), 2023
Dimitris Bertsimas
Cheolhyeong Kim
217
13
0
23 Jul 2023
Learning Prescriptive ReLU Networks
Learning Prescriptive ReLU NetworksInternational Conference on Machine Learning (ICML), 2023
Wei-Ju Sun
Asterios Tsiourvas
325
3
0
01 Jun 2023
Reducing Air Pollution through Machine Learning
Reducing Air Pollution through Machine Learning
Dimitris Bertsimas
L. Boussioux
C. Zeng
AI4CE
186
2
0
22 Mar 2023
Policy learning for many outcomes of interest: Combining optimal policy
  trees with multi-objective Bayesian optimisation
Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation
Patrick Rehill
Nicholas Biddle
216
0
0
13 Dec 2022
Constrained Prescriptive Trees via Column Generation
Constrained Prescriptive Trees via Column GenerationAAAI Conference on Artificial Intelligence (AAAI), 2022
Shivaram Subramanian
Wei-Ju Sun
Youssef Drissi
M. Ettl
240
12
0
20 Jul 2022
Convex Surrogate Loss Functions for Contextual Pricing with Transaction
  Data
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data
Max Biggs
OffRL
311
1
0
16 Feb 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
219
8
0
05 Nov 2021
Holistic Deep Learning
Holistic Deep LearningMachine-mediated learning (ML), 2021
Dimitris Bertsimas
Kimberly Villalobos Carballo
L. Boussioux
M. Li
Alex Paskov
I. Paskov
368
3
0
29 Oct 2021
1
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