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Sparsity in Optimal Randomized Classification Trees

Sparsity in Optimal Randomized Classification Trees

21 February 2020
R. Blanquero
E. Carrizosa
Cristina Molero-Río
Dolores Romero Morales
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Papers citing "Sparsity in Optimal Randomized Classification Trees"

16 / 16 papers shown
Title
Generating collective counterfactual explanations in score-based
  classification via mathematical optimization
Generating collective counterfactual explanations in score-based classification via mathematical optimization
E. Carrizosa
Jasone Ramírez-Ayerbe
Dolores Romero Morales
8
14
0
19 Oct 2023
Loss-Optimal Classification Trees: A Generalized Framework and the
  Logistic Case
Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case
Tommaso Aldinucci
Matteo Lapucci
14
0
0
01 Jun 2023
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
11
11
0
05 May 2023
Rolling Lookahead Learning for Optimal Classification Trees
Rolling Lookahead Learning for Optimal Classification Trees
Z. B. Organ
Enis Kayış
Taghi Khaniyev
8
0
0
21 Apr 2023
Optimal Sparse Regression Trees
Optimal Sparse Regression Trees
Rui Zhang
Rui Xin
Margo Seltzer
Cynthia Rudin
15
3
0
28 Nov 2022
Margin Optimal Classification Trees
Margin Optimal Classification Trees
Federico DÓnofrio
G. Grani
Marta Monaci
L. Palagi
8
10
0
19 Oct 2022
Optimal Decision Diagrams for Classification
Optimal Decision Diagrams for Classification
Alexandre M. Florio
P. Martins
Maximilian Schiffer
Thiago Serra
Thibaut Vidal
14
12
0
28 May 2022
On multivariate randomized classification trees: $l_0$-based sparsity,
  VC~dimension and decomposition methods
On multivariate randomized classification trees: l0l_0l0​-based sparsity, VC~dimension and decomposition methods
E. Amaldi
Antonio Consolo
A. Manno
10
1
0
09 Dec 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
6
2
0
21 Apr 2021
Strong Optimal Classification Trees
Strong Optimal Classification Trees
S. Aghaei
Andrés Gómez
P. Vayanos
8
35
0
29 Mar 2021
Dive into Decision Trees and Forests: A Theoretical Demonstration
Dive into Decision Trees and Forests: A Theoretical Demonstration
Jinxiong Zhang
6
3
0
20 Jan 2021
MurTree: Optimal Classification Trees via Dynamic Programming and Search
MurTree: Optimal Classification Trees via Dynamic Programming and Search
Emir Demirović
Anna Lukina
E. Hébrard
Jeffrey Chan
James Bailey
C. Leckie
K. Ramamohanarao
Peter James Stuckey
4
62
0
24 Jul 2020
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning
Dimitris Bertsimas
V. Digalakis
14
10
0
11 Jun 2020
Optimization Problems for Machine Learning: A Survey
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
20
177
0
16 Jan 2019
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
131
2,701
0
18 Nov 2015
Gene selection with guided regularized random forest
Gene selection with guided regularized random forest
Houtao Deng
G. Runger
86
285
0
28 Sep 2012
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