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Optimization of Tree Ensembles

Optimization of Tree Ensembles

30 May 2017
V. Mišić
ArXivPDFHTML

Papers citing "Optimization of Tree Ensembles"

20 / 20 papers shown
Title
D-CODE: Data Colony Optimization for Dynamic Network Efficiency
D-CODE: Data Colony Optimization for Dynamic Network Efficiency
Tannu Pandey
Ayush Thakur
28
0
0
08 May 2024
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
40
0
0
26 Oct 2023
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
Max Biggs
Georgia Perakis
6
1
0
28 Feb 2023
Counterfactual Explanations Using Optimization With Constraint Learning
Counterfactual Explanations Using Optimization With Constraint Learning
Donato Maragno
Tabea E. Rober
Ilker Birbil
CML
58
10
0
22 Sep 2022
Tree ensemble kernels for Bayesian optimization with known constraints
  over mixed-feature spaces
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCV
BDL
43
10
0
02 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
13
1
0
16 Feb 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
34
70
0
04 Feb 2022
Maximizing information from chemical engineering data sets: Applications
  to machine learning
Maximizing information from chemical engineering data sets: Applications to machine learning
Alexander Thebelt
Johannes Wiebe
Jan Kronqvist
Calvin Tsay
Ruth Misener
AI4CE
45
68
0
25 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
59
50
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
58
47
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
33
2
0
21 Apr 2021
Stochastic Optimization Forests
Stochastic Optimization Forests
Nathan Kallus
Xiaojie Mao
32
48
0
17 Aug 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
29
54
0
10 Mar 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations
Learning Optimal Classification Trees: Strong Max-Flow Formulations
S. Aghaei
A. Gómez
P. Vayanos
AI4CE
17
26
0
21 Feb 2020
Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
Yi-Chun Chen
V. Mišić
14
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
30
178
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
19
251
0
20 Nov 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
29
27
0
11 Jul 2018
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
158
2,729
0
18 Nov 2015
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,732
0
18 Aug 2015
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