Sparse Classification: a scalable discrete optimization perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Bertsimas, Dimitris, Pauphilet, Jean, Van Parys, Bart |
|---|---|
| Format: | Preprint |
| Published: |
2017
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A new perspective on low-rank optimization
by: Bertsimas, Dimitris, et al.
Published: (2021)
by: Bertsimas, Dimitris, et al.
Published: (2021)
A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Exterior-point Optimization for Sparse and Low-rank Optimization
by: Gupta, Shuvomoy Das, et al.
Published: (2020)
by: Gupta, Shuvomoy Das, et al.
Published: (2020)
A novel exact approach to polynomial optimization
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Robust and Adaptive Optimization under a Large Language Model Lens
by: Bertsimas, Dimitris, et al.
Published: (2024)
by: Bertsimas, Dimitris, et al.
Published: (2024)
Energy-optimal Timetable Design for Sustainable Metro Railway Networks
by: Gupta, Shuvomoy Das, et al.
Published: (2023)
by: Gupta, Shuvomoy Das, et al.
Published: (2023)
Learning Decision-Focused Uncertainty Sets in Robust Optimization
by: Wang, Irina, et al.
Published: (2023)
by: Wang, Irina, et al.
Published: (2023)
Subgradient Methods for Nonsmooth Convex Functions with Adversarial Errors
by: Gösgens, Martijn, et al.
Published: (2025)
by: Gösgens, Martijn, et al.
Published: (2025)
Should We Relax Stability in Matching Markets?
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Global Optimization via Optimal Decision Trees
by: Bertsimas, Dimitris, et al.
Published: (2022)
by: Bertsimas, Dimitris, et al.
Published: (2022)
Sparse PCA With Multiple Components
by: Cory-Wright, Ryan, et al.
Published: (2022)
by: Cory-Wright, Ryan, et al.
Published: (2022)
From Data to Uncertainty Sets: a Machine Learning Approach
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective
by: Chan, Gabriel, et al.
Published: (2024)
by: Chan, Gabriel, et al.
Published: (2024)
Mean Robust Optimization
by: Wang, Irina, et al.
Published: (2022)
by: Wang, Irina, et al.
Published: (2022)
Global Optimization: A Machine Learning Approach
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Catastrophe Insurance: An Adaptive Robust Optimization Approach
by: Bertsimas, Dimitris, et al.
Published: (2024)
by: Bertsimas, Dimitris, et al.
Published: (2024)
Overfitting in Adaptive Robust Optimization
by: Zhu, Karl, et al.
Published: (2025)
by: Zhu, Karl, et al.
Published: (2025)
Robust Regression over Averaged Uncertainty
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions
by: Bennouna, Amine, et al.
Published: (2021)
by: Bennouna, Amine, et al.
Published: (2021)
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Compact Lifted Relaxations for Low-Rank Optimization
by: Cory-Wright, Ryan, et al.
Published: (2026)
by: Cory-Wright, Ryan, et al.
Published: (2026)
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Efficient Data-Driven Optimization with Noisy Data
by: Van Parys, Bart P. G.
Published: (2021)
by: Van Parys, Bart P. G.
Published: (2021)
Improved Approximation Algorithms for Orthogonally Constrained Problems Using Semidefinite Optimization
by: Cory-Wright, Ryan, et al.
Published: (2025)
by: Cory-Wright, Ryan, et al.
Published: (2025)
Global Nonconvex Optimization with Integer Variables
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Stochastic Optimization with Optimal Importance Sampling
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences
by: Bertsimas, Dimitris, et al.
Published: (2024)
by: Bertsimas, Dimitris, et al.
Published: (2024)
Globalized Adversarial Regret Optimization: Robust Decisions with Uncalibrated Predictions
by: Kurtz, Jannis, et al.
Published: (2026)
by: Kurtz, Jannis, et al.
Published: (2026)
A scalable optimization approach for equitable facility location: Methodology and transportation applications
by: Horton, Drew, et al.
Published: (2024)
by: Horton, Drew, et al.
Published: (2024)
A scalable sequential adaptive cubic regularization algorithm for optimization with general equality constraints
by: Pei, Yonggang, et al.
Published: (2025)
by: Pei, Yonggang, et al.
Published: (2025)
Formulations and scalability of neural network surrogates in nonlinear optimization problems
by: Parker, Robert B., et al.
Published: (2024)
by: Parker, Robert B., et al.
Published: (2024)
Semi-discrete unbalanced optimal transport and quantization
by: Bourne, David P., et al.
Published: (2018)
by: Bourne, David P., et al.
Published: (2018)
A scalable mixed-integer conic optimization approach to cardinality-constrained Poisson regression with safe screening
by: Kurihara, Kota, et al.
Published: (2025)
by: Kurihara, Kota, et al.
Published: (2025)
Sparse optimal control in the Wasserstein space
by: Sartor, Enrico, et al.
Published: (2026)
by: Sartor, Enrico, et al.
Published: (2026)
An SDE perspective on stochastic convex optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2022)
by: Maulen-Soto, Rodrigo, et al.
Published: (2022)
Tractable reformulations of DRO problems over structured optimal transport ambiguity sets
by: Chaouach, Lotfi M., et al.
Published: (2025)
by: Chaouach, Lotfi M., et al.
Published: (2025)
Designing a Robust and Cost-Efficient Electrified Bus Network with Sparse Energy Consumption Data
by: Momen, Sara, et al.
Published: (2025)
by: Momen, Sara, et al.
Published: (2025)
A Lagrangian shape and topology optimization framework based on semi-discrete optimal transport
by: Dapogny, Charles, et al.
Published: (2024)
by: Dapogny, Charles, et al.
Published: (2024)
PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
by: Wen, Yilin, et al.
Published: (2026)
by: Wen, Yilin, et al.
Published: (2026)
Similar Items
-
A new perspective on low-rank optimization
by: Bertsimas, Dimitris, et al.
Published: (2021) -
A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design
by: Bertsimas, Dimitris, et al.
Published: (2023) -
Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
by: Bertsimas, Dimitris, et al.
Published: (2023) -
Exterior-point Optimization for Sparse and Low-rank Optimization
by: Gupta, Shuvomoy Das, et al.
Published: (2020) -
A novel exact approach to polynomial optimization
by: Bertsimas, Dimitris, et al.
Published: (2025)