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Optimization of Tree Ensembles
v1v2 (latest)

Optimization of Tree Ensembles

30 May 2017
V. Mišić
ArXiv (abs)PDFHTML

Papers citing "Optimization of Tree Ensembles"

28 / 28 papers shown
Title
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Daniel Ovalle
Lorenz T. Biegler
Ignacio E. Grossmann
Carl D. Laird
Mateo Dulce Rubio
72
0
0
04 Jun 2025
Global optimization of graph acquisition functions for neural architecture search
Global optimization of graph acquisition functions for neural architecture search
Yilin Xie
Shiqiang Zhang
Jixiang Qing
Ruth Misener
Calvin Tsay
63
0
0
29 May 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
140
2
0
07 Mar 2025
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
200
0
0
26 Oct 2023
A Mathematical Programming Approach to Optimal Classification Forests
A Mathematical Programming Approach to Optimal Classification Forests
V. Blanco
Alberto Japón
J. Puerto
Peter Zhang
100
0
0
18 Nov 2022
Counterfactual Explanations Using Optimization With Constraint Learning
Counterfactual Explanations Using Optimization With Constraint Learning
Donato Maragno
Tabea E. Rober
Ilker Birbil
CML
117
10
0
22 Sep 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power
  Systems
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems
Jochen Stiasny
Samuel C. Chevalier
Rahul Nellikkath
Brynjar Sævarsson
Spyros Chatzivasileiadis
66
16
0
14 Mar 2022
OMLT: Optimization & Machine Learning Toolkit
OMLT: Optimization & Machine Learning Toolkit
Francesco Ceccon
Jordan Jalving
Joshua Haddad
Alexander Thebelt
Calvin Tsay
C. Laird
Ruth Misener
84
77
0
04 Feb 2022
Constraint Learning to Define Trust Regions in Predictive-Model Embedded
  Optimization
Constraint Learning to Define Trust Regions in Predictive-Model Embedded Optimization
Chenbo Shi
Mohsen Emadikhiav
Leonardo Lozano
David Bergman
53
2
0
12 Jan 2022
Mixed-Integer Optimization with Constraint Learning
Mixed-Integer Optimization with Constraint Learning
Donato Maragno
H. Wiberg
Dimitris Bertsimas
Ş. Birbil
D. Hertog
Adejuyigbe O. Fajemisin
110
55
0
04 Nov 2021
Multi-Objective Constrained Optimization for Energy Applications via
  Tree Ensembles
Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
T. Tranter
Ruth Misener
AI4CE
56
30
0
04 Nov 2021
Optimization with Constraint Learning: A Framework and Survey
Optimization with Constraint Learning: A Framework and Survey
Adejuyigbe O. Fajemisin
Donato Maragno
D. Hertog
111
52
0
05 Oct 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
124
2
0
21 Apr 2021
Rare-Event Simulation for Neural Network and Random Forest Predictors
Rare-Event Simulation for Neural Network and Random Forest Predictors
Yuanlu Bai
Zhiyuan Huang
Henry Lam
Ding Zhao
53
24
0
10 Oct 2020
Stochastic Optimization Forests
Stochastic Optimization Forests
Nathan Kallus
Xiaojie Mao
200
50
0
17 Aug 2020
Model Distillation for Revenue Optimization: Interpretable Personalized
  Pricing
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
Max Biggs
Wei-Ju Sun
M. Ettl
75
35
0
03 Jul 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
Alexander Thebelt
Jan Kronqvist
Miten Mistry
Robert M. Lee
Nathan Sudermann-Merx
Ruth Misener
87
57
0
10 Mar 2020
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment
  on a Constrained Problem
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Mattia Silvestri
M. Lombardi
M. Milano
AI4CE
119
19
0
25 Feb 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations
Learning Optimal Classification Trees: Strong Max-Flow Formulations
S. Aghaei
A. Gómez
P. Vayanos
AI4CE
142
26
0
21 Feb 2020
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
David Bergman
Teng Huang
Philip Brooks
Andrea Lodi
A. Raghunathan
MU
75
50
0
21 Nov 2019
The Use of Binary Choice Forests to Model and Estimate Discrete Choices
The Use of Binary Choice Forests to Model and Estimate Discrete Choices
Ningyuan Chen
G. Gallego
Zhuodong Tang
31
17
0
03 Aug 2019
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
B. Grimstad
H. Andersson
64
143
0
06 Jul 2019
Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
Yi-Chun Chen
V. Mišić
131
38
0
25 Apr 2019
Optimization Problems for Machine Learning: A Survey
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
142
181
0
16 Jan 2019
Strong mixed-integer programming formulations for trained neural
  networks
Strong mixed-integer programming formulations for trained neural networks
Ross Anderson
Joey Huchette
Christian Tjandraatmadja
J. Vielma
187
259
0
20 Nov 2018
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear
  Regressions
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions
Yuri R. Fonseca
M. C. Medeiros
Gabriel F. R. Vasconcelos
Álvaro Veiga
41
9
0
10 Aug 2018
Optimization over Continuous and Multi-dimensional Decisions with
  Observational Data
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
Dimitris Bertsimas
Christopher McCord
128
27
0
11 Jul 2018
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees
  Embedded
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded
Miten Mistry
Dimitrios Letsios
G. Krennrich
Robert M. Lee
Ruth Misener
OffRL
93
53
0
02 Mar 2018
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