Optimization Online is a repository of Eprints about optimization and related topics.
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Recent Eprints
- Subsampled cubic regularization method with distinct sample sizes for function, gradient, and Hessian
Published 2025/12/10 by Max L. N. Gonçalves - A spatial branch-and-price-and-cut algorithm for finding globally optimal solutions to the continuous network design problem
Published 2025/12/10 by Michael Levin, David - A Taxonomy of Multi-Objective Alignment Techniques for Large Language Models
Published 2025/12/09 by Eva Paunova - Artificial Intelligence in Supply Chain Optimization: A Systematic Review of Machine Learning Models, Methods, and Applications
Published 2025/12/08 by I. Esra Buyuktahtakin Toy - Constraint Decomposition for Multi-Objective Instruction-Following in Large Language Models
Published 2025/12/07 by Eva Paunova - Data-Dependent Complexity of First-Order Methods for Binary Classification
Published 2025/12/04 by Matthew Hough, Stephen A. Vavasis - A Dual Riemannian ADMM Algorithm for Low-Rank SDPs with Unit Diagonal
Published 2025/12/04 by Jie Wang - A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
Published 2025/12/02 by X.Y. Han, Yuan Zhong - Semidefinite programming via Projective Cutting Planes for dense (easily-feasible) instances
Published 2025/12/01 by Daniel Porumbel - Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations
Published 2025/12/01 by Dimitris Bertsimas, Caio de Próspero Iglesias, Nicholas A. G. Johnson