Optimisation & control
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- On the Optimal Linear Minimization Oracle Complexity of Active-Hull Methods for Minimizing Convex Hölder Smooth Functions
- Computer-assisted local maximality of regular polygons for torsional rigidity
- Trust the Direction, Search the Step: Zero-and-First-Order Methods for LLM Fine-Tuning
- Minimal Experiments for Robust Stabilization: Information, Spectral Geometry, and Duration
- Muon meets Tamed Langevin: Momentum Preconditioning beyond Convex and gradient-Lipschitz Potentials
- Linear Programming Representations and Strongly Polynomial Algorithms for Robust Markov Decision Processes
- Geometry and Convergence of Quadratically Regularized Optimal Transport II
- Approximation and computation of the geodesic Sinkhorn distance
- The Curvature of Regret in Contextual Linear Optimization
- A two-stage approach to satellite constellation optimization: classical and QUBO formulations
- Optimal Stochastic Bilevel Optimization with First-Order Oracles
- Recognizing Signomial Convexity is Hard
- Simplifying the computation of weak-⋆ second subderivatives of convex functionals via Γ-convergence
- Routing in Line Networks with Handling Times
- Lower Bounds for Stochastic First-Order Algorithms with Variance Reduction in Nonconvex--Concave Minimax Optimization
- Structural stability of systems and cycle covers in random graphs
- Convergence Analysis of STORM Under Different Geometries
- Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization
- Reinforcement Learning to Accelerate Primal-Dual Hybrid Gradient for Linear Programming
- McADMM: A Multi-Clique Augmented Lagrangian-Based Algorithm for Large-Scale Sparse SDPs with Bound Constraints
- Building Seasonal Highways for Residential Energy Hubs: Sizing, planning and operating thermal energy storage
- On the Multi-Index, Multi-Rate, and Multi-Phase Dynamics of Decoder-Only Language Models: A Unified Hybrid Framework for Generative and Agentic Systems
- Least-time Gradient Flow
- Constant-Modulus Optimization for Quadratic K-Medoids Graph Clustering
- Reachability-Informed Reinforcement Learning for Multi-Impulse Interplanetary Transfers