A Mathematical Programming Approach to Optimal Classification Forests
Fuente:
arXiv
Saved in:
| Main Authors: | Blanco, Víctor, Japón, Alberto, Puerto, Justo, Zhang, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal probabilistic feature shifts for reclassification in tree ensembles
by: Blanco, Víctor, et al.
Published: (2024)
by: Blanco, Víctor, et al.
Published: (2024)
Exact Matrix Seriation through Mathematical Optimization: Stress and Effectiveness-Based Models
by: Blanco, Víctor, et al.
Published: (2025)
by: Blanco, Víctor, et al.
Published: (2025)
Optimal Embedding of Wiring Diagrams in Constrained Three-Dimensional Spaces
by: Blanco, Víctor, et al.
Published: (2026)
by: Blanco, Víctor, et al.
Published: (2026)
A Mathematical Optimization Approach to Multisphere Support Vector Data Description
by: Blanco, Víctor, et al.
Published: (2025)
by: Blanco, Víctor, et al.
Published: (2025)
Learning to Configure Mathematical Programming Solvers by Mathematical Programming
by: Iommazzo, Gabriele, et al.
Published: (2024)
by: Iommazzo, Gabriele, et al.
Published: (2024)
A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
by: Blanco, Víctor, et al.
Published: (2025)
by: Blanco, Víctor, et al.
Published: (2025)
Mixtures Closest to a Given Measure: A Semidefinite Programming Approach
by: Đurašinović, Srećko, et al.
Published: (2025)
by: Đurašinović, Srećko, et al.
Published: (2025)
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
by: Trillos, Nicolas Garcia, et al.
Published: (2024)
by: Trillos, Nicolas Garcia, et al.
Published: (2024)
Mathematical Programming Algorithms for Convex Hull Approximation with a Hyperplane Budget
by: Barbato, Michele, et al.
Published: (2024)
by: Barbato, Michele, et al.
Published: (2024)
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
by: Boone, Victor, et al.
Published: (2024)
by: Boone, Victor, et al.
Published: (2024)
MPAX: Mathematical Programming in JAX
by: Lu, Haihao, et al.
Published: (2024)
by: Lu, Haihao, et al.
Published: (2024)
Learning Optimal Classification Trees Robust to Distribution Shifts
by: Justin, Nathan, et al.
Published: (2023)
by: Justin, Nathan, et al.
Published: (2023)
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
by: Zhuang, Yubo, et al.
Published: (2023)
by: Zhuang, Yubo, et al.
Published: (2023)
An Optimal Transport Approach for Network Regression
by: Zalles, Alex G., et al.
Published: (2024)
by: Zalles, Alex G., et al.
Published: (2024)
An Optimal Control Approach To Transformer Training
by: Akman, Kağan, et al.
Published: (2026)
by: Akman, Kağan, et al.
Published: (2026)
Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
by: Lu, Haihao, et al.
Published: (2021)
by: Lu, Haihao, et al.
Published: (2021)
A Guaranteed-Stable Neural Network Approach for Optimal Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)
by: Li, Anran, et al.
Published: (2025)
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
by: Linghu, Yuxuan, et al.
Published: (2026)
by: Linghu, Yuxuan, et al.
Published: (2026)
Online Linear Programming with Batching
by: Xu, Haoran, et al.
Published: (2024)
by: Xu, Haoran, et al.
Published: (2024)
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
by: Anh, Vu Duc, et al.
Published: (2024)
by: Anh, Vu Duc, et al.
Published: (2024)
Augmentation approaches for Mixed Integer Programming
by: Puerto, Justo, et al.
Published: (2025)
by: Puerto, Justo, et al.
Published: (2025)
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
by: Tan, Samuel, et al.
Published: (2024)
by: Tan, Samuel, et al.
Published: (2024)
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
by: Tang, Bo, et al.
Published: (2023)
by: Tang, Bo, et al.
Published: (2023)
A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming
by: Bonasera, Lorenzo, et al.
Published: (2024)
by: Bonasera, Lorenzo, et al.
Published: (2024)
Mathematical Foundations of Deep Learning
by: Ye, Xiaojing
Published: (2026)
by: Ye, Xiaojing
Published: (2026)
Optimal Sample Complexity for Average Reward Markov Decision Processes
by: Wang, Shengbo, et al.
Published: (2023)
by: Wang, Shengbo, et al.
Published: (2023)
Coherent Local Explanations for Mathematical Optimization
by: Otto, Daan, et al.
Published: (2025)
by: Otto, Daan, et al.
Published: (2025)
Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
by: Le, Thinh Viet, et al.
Published: (2025)
by: Le, Thinh Viet, et al.
Published: (2025)
Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
Solving 0-1 Integer Programs with Unknown Knapsack Constraints Using Membership Oracles
by: Messana, Rosario, et al.
Published: (2024)
by: Messana, Rosario, et al.
Published: (2024)
Revisiting transportation problems under Monge costs with applications to location problems
by: Nickel, Stefan, et al.
Published: (2026)
by: Nickel, Stefan, et al.
Published: (2026)
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
by: Bevanda, Petar, et al.
Published: (2024)
by: Bevanda, Petar, et al.
Published: (2024)
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
by: Súkeník, Peter, et al.
Published: (2024)
by: Súkeník, Peter, et al.
Published: (2024)
Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Non-Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
A Gradient Guided Diffusion Framework for Chance Constrained Programming
by: Zhang, Boyang, et al.
Published: (2025)
by: Zhang, Boyang, et al.
Published: (2025)
A Novel Loss Function-based Support Vector Machine for Binary Classification
by: Li, Yan, et al.
Published: (2024)
by: Li, Yan, et al.
Published: (2024)
Manifold Regularization Classification Model Based On Improved Diffusion Map
by: Guo, Hongfu, et al.
Published: (2024)
by: Guo, Hongfu, et al.
Published: (2024)
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
by: Trillos, Nicolas Garcia, et al.
Published: (2022)
by: Trillos, Nicolas Garcia, et al.
Published: (2022)
Double-Bounded Optimal Transport for Advanced Clustering and Classification
by: Shi, Liangliang, et al.
Published: (2024)
by: Shi, Liangliang, et al.
Published: (2024)
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
by: Jiang, Liuyuan, et al.
Published: (2024)
by: Jiang, Liuyuan, et al.
Published: (2024)
Similar Items
-
Optimal probabilistic feature shifts for reclassification in tree ensembles
by: Blanco, Víctor, et al.
Published: (2024) -
Exact Matrix Seriation through Mathematical Optimization: Stress and Effectiveness-Based Models
by: Blanco, Víctor, et al.
Published: (2025) -
Optimal Embedding of Wiring Diagrams in Constrained Three-Dimensional Spaces
by: Blanco, Víctor, et al.
Published: (2026) -
A Mathematical Optimization Approach to Multisphere Support Vector Data Description
by: Blanco, Víctor, et al.
Published: (2025) -
Learning to Configure Mathematical Programming Solvers by Mathematical Programming
by: Iommazzo, Gabriele, et al.
Published: (2024)