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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

13 December 2022
Patrick Rehill
Nicholas Biddle
ArXivPDFHTML

Papers citing "Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation"

14 / 14 papers shown
Title
The Infinitesimal Jackknife and Combinations of Models
The Infinitesimal Jackknife and Combinations of Models
Indrayudh Ghosal
Yunzhe Zhou
Giles Hooker
73
4
0
31 Aug 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
47
60
0
15 Jun 2022
A survey on multi-objective hyperparameter optimization algorithms for
  Machine Learning
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
A. Hernández
I. Nieuwenhuyse
Sebastian Rojas Gonzalez
37
101
0
23 Nov 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with
  Expected Hypervolume Improvement
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Sam Daulton
Maximilian Balandat
E. Bakshy
40
154
0
17 May 2021
Optimal Policy Trees
Optimal Policy Trees
Maxime Amram
Jack Dunn
Ying Daisy Zhuo
CML
OffRL
33
33
0
03 Dec 2020
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
44
241
0
09 Jun 2020
Optimal Sparse Decision Trees
Optimal Sparse Decision Trees
Xiyang Hu
Cynthia Rudin
Margo Seltzer
103
174
0
29 Apr 2019
Offline Multi-Action Policy Learning: Generalization and Optimization
Offline Multi-Action Policy Learning: Generalization and Optimization
Zhengyuan Zhou
Susan Athey
Stefan Wager
OffRL
63
121
0
10 Oct 2018
Confounding-Robust Policy Improvement
Confounding-Robust Policy Improvement
Nathan Kallus
Angela Zhou
CML
OffRL
265
152
0
22 May 2018
Meta-learners for Estimating Heterogeneous Treatment Effects using
  Machine Learning
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Sören R. Künzel
Jasjeet Sekhon
Peter J. Bickel
Bin Yu
CML
146
923
0
12 Jun 2017
Generalized Random Forests
Generalized Random Forests
Susan Athey
J. Tibshirani
Stefan Wager
250
1,357
0
05 Oct 2016
Recursive Partitioning for Personalization using Observational Data
Recursive Partitioning for Personalization using Observational Data
Nathan Kallus
CML
172
99
0
31 Aug 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDa
CML
276
2,483
0
14 Oct 2015
Recursive Partitioning for Heterogeneous Causal Effects
Recursive Partitioning for Heterogeneous Causal Effects
Susan Athey
Guido Imbens
CML
186
1,428
0
05 Apr 2015
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