Optimisation & control
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- KKT Residual Sliding Manifolds: A Projection-Free Structured Finite-Time Solver for Nonlinear Constrained Optimisation
- Beyond Aggregate Drift: Optimal Client-Specific Windows in Federated Learning
- From Product Evidence to Access Rights: Auditing and Routing Non-Firm Grid Connections
- Explicit Bounds on Hoffman Constants for Sparse Polyhedral Regularizers
- Sparsity in control problems: Recent trends and open challenges
- Optimal Cuts and Optimal Faces of Exact Max-Cut Semidefinite Relaxations
- Eigenvalue-Decomposition Cost Denoising for Predict-then-Optimize
- Comparing Socially-Equitable Renewable Energy Budget Allocation MDP Policies in Mature and Emerging Economies
- Tight Complexity of Muon under Heavy-Tailed Noise
- Bilinear Mamba-Koopman Neural MPC for Varying Dynamics
- Fast Trainable Multilinear Bases for Image Compression
- Cosm: orchestrated collective dynamics give rise to rapid computational search at the solution frontier
- Non-Euclidean Gradient Descent Has Many Edges of Stability
- An adaptive Galerkin neural-network method for minimum-norm control of wave equations
- Adaptive two-points zero-order accelerated methods for stochastic convex optimization problems
- The exact worst-case asymptotic rate of Nesterov acceleration for strongly convex optimization
- RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem
- On the minimizer of the barycentric isoperimetric ratio among connected planar sets
- Duality Theory for Filter Stability in Hidden Markov Models
- Multilevel Monte Carlo for Zeroth-Order Stochastic Bilevel Optimization with Inexact Lower Level Solves
- Training-Free Multi-Agent Cooperative Embodied Search from Uncertain Vision-Language Priors
- Mean-Variance Portfolio Selection: Statistical Properties and Distributionally Robust Optimization
- An Exact Branch-Price-and-Cut Algorithm for a Truck-as-Hub Vehicle Routing Problem with Drones
- Mixing Regularization for Average-Reward Q-Learning and Q-Planning
- A Unified Kalman-Type Classification of Controllability for Linear Stochastic Systems