Imagen de Portada

Globalized distributionally robust chance-constrained support vector machine based on core sets

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Yueyao, Bao, Chenglong, Xing, Wenxun
Formato:	Preprint
Publicado:	2025
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Globalized distributionally robust optimization with multi core sets
por: Li, Yueyao, et al.
Publicado: (2024)

On the risk levels of distributionally robust chance constrained problems
por: Heinlein, Moritz, et al.
Publicado: (2024)

A dynamical neural network approach for distributionally robust chance constrained Markov decision process
por: Xia, Tian, et al.
Publicado: (2023)

Robust approximation of chance constrained optimization with polynomial perturbation
por: Rao, Bo, et al.
Publicado: (2022)

Uncertain standard quadratic optimization under distributional assumptions: a chance-constrained epigraphic approach
por: Bomze, Immanuel M., et al.
Publicado: (2024)

On the robust isolated calmness of a class of nonsmooth optimizations on Riemannian manifolds and its applications
por: Bao, Chenglong, et al.
Publicado: (2022)

Projection-free computation of robust controllable sets with constrained zonotopes
por: Vinod, Abraham P., et al.
Publicado: (2024)

Solving contextual chance-constrained programming under decision-dependent uncertainty
por: Liu, Xiangting, et al.
Publicado: (2026)

ADMM Algorithms for Residual Network Training: Convergence Analysis and Parallel Implementation
por: Xu, Jintao, et al.
Publicado: (2023)

On feasibility cuts for chance-constrained multicommodity network design problems
por: Wouda, Niels A., et al.
Publicado: (2024)

Global relaxation-based LP-Newton method for multiple hyperparameter selection in support vector classification with feature selection
por: Qian, Yaru, et al.
Publicado: (2023)

Alternating Direction Method of Multipliers for nonlinear constrained convex problems and applications to distributed resource allocation and constrained machine learning
por: Xiong, Zhengjie, et al.
Publicado: (2026)

Presolve techniques for quasi-convex chance constraints with finite-support low-dimensional uncertainty
por: Van Dessel, Guillaume, et al.
Publicado: (2025)

Tightening big Ms in integer programming formulations for support vector machines with ramp loss
por: Baldomero-Naranjo, Marta, et al.
Publicado: (2024)

Robust support vector machines via conic optimization
por: Cepeda, Valentina, et al.
Publicado: (2024)

Nonlinear kernel-free quadratic hyper-surface support vector machine with 0-1 loss function
por: Wu, Mingyang, et al.
Publicado: (2024)

Online convex optimization for robust control of constrained dynamical systems
por: Nonhoff, Marko, et al.
Publicado: (2024)

Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets
por: Ohnemus, Jonas, et al.
Publicado: (2025)

Convexity of chance constraints for elliptical and skewed distributions with copula structures dependent on decision variables
por: Zhang, Heng, et al.
Publicado: (2025)

A robust consensus + innovations-based distributed parameter estimator
por: Lorenz-Meyer, Nicolai, et al.
Publicado: (2024)

On the Convergence Analysis of an Inexact Preconditioned Stochastic Model-Based Algorithm
por: Bao, Chenglong, et al.
Publicado: (2025)

Rectangularity and duality of distributionally robust Markov Decision Processes
por: Li, Yan, et al.
Publicado: (2023)

Depth-first directional search for nonconvex optimization
por: Zhang, Yuxuan, et al.
Publicado: (2024)

A constrained optimization approach to improve robustness of neural networks
por: Zhao, Shudian, et al.
Publicado: (2024)

A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
por: Zhou, Yuhao, et al.
Publicado: (2025)

Well-Posedness and Efficient Algorithms for Inverse Optimal Transport with Bregman Regularization
por: Bao, Chenglong, et al.
Publicado: (2025)

A distributed augmented Lagrangian decomposition algorithm for constrained optimization
por: Guo, Wenyou, et al.
Publicado: (2025)

Stochastic versus Deterministic in Stochastic Gradient Descent
por: Li, Runze, et al.
Publicado: (2025)

Averaging Orientations with Molecular Symmetry in Cryo-EM
por: Zhang, Qi, et al.
Publicado: (2023)

Operating envelopes for the grid-constrained use of distributed flexibility in balancing markets
por: Kaushal, Abhimanyu, et al.
Publicado: (2024)

Bayesian distributionally robust variational inequalities: regularization and quantification
por: Ma, Wentao, et al.
Publicado: (2025)

On second-order weak sharp minima of general nonconvex set-constrained optimization problems
por: Ma, Xiaoxiao, et al.
Publicado: (2025)

A characteristic function framework for chance constraint programming in stochastic model predictive control
por: Ying, Yuwei, et al.
Publicado: (2026)

Wasserstein distributionally robust optimization and its tractable regularization formulations
por: Chu, Hong T. M., et al.
Publicado: (2024)

Complexity results and active-set identification of a derivative-free method for bound-constrained problems
por: Brilli, Andrea, et al.
Publicado: (2024)

Decision support for sustainable forest harvest planning using multi-scenario multiobjective robust optimization
por: Shavazipour, Babooshka, et al.
Publicado: (2024)

Dampening parameter distributional shifts under robust control and gain scheduling
por: Ramadan, Mohammad, et al.
Publicado: (2024)

FormOpt: A FEniCSx toolbox for level set-based shape optimization supporting parallel computing
por: Díaz-Avalos, Josué D., et al.
Publicado: (2026)

On the supporting quasi-hyperplane and separation theorem of geodesic convex sets with applications on Riemannian manifolds
por: Zhou, Li-wen, et al.
Publicado: (2024)

New second-order optimality conditions for directional optimality of a general set-constrained optimization problem
por: Ouyang, Wei, et al.
Publicado: (2024)