Optimisation & control
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- Envelope Cubic Regularized Newton Method for Nonconvex-Strongly-Concave Minimax Optimization
- Continuous-Time q-Learning with Nonsmooth Value Functions: a BSDE Approach
- New Modelling and Solution Frameworks for Multiple Objectives, Decomposability and Impulsivity in Continuous-time Markov Decision Processes
- Routes planning in a condominium company using mathematical optimization
- A particle swarm optimization with a reduced-subspace trust-region safeguard for contact-rich controller tuning
- Ergodic and Metastable Behavior of Stochastic Popularity Dynamics in Social Networks
- New spherical codes by tuning an annealing solver
- L1 Minimum Energy Estimation of Positive Systems
- Recursive Gradient Retraction Methods for Stochastic Nonconvex Optimization on Stiefel Manifolds
- On the Regularization of Primal-Dual Dynamics in Time-Dependent Nonconvex Optimization
- On the Optimisation Landscape of Overparameterised Weighted MMD
- ANOVA approximation for high-dimensional control systems
- Does Policy Mirror Descent Converge in Policy with Non-Decomposable Mirror Maps? A Counterexample
- GPU-Accelerated Preprocessing for Large-Scale Linear Programming
- Safety stock calculation with heteroscedastic, autocorrelated and heavy-tailed forecast errors, an adaptive parametric method.e
- Free-Material Optimization in a Peridynamic World
- On Completely Positive and Semidefinite Programs for Moment Bounds on Maximum of Random Quadratics
- C1 Virtual Element Methods for the Optimal Control of Oseen Equations with Stream-Function Formulation
- The Big Match under translation-invariant charges
- Maximizing Reaction via Spatial Localization: A PDE-Constrained Variational Approach
- Convergence Rates of Factorized Gradient Descent for Overparameterized Asymmetric Matrix Sensing with Balancing Regularization
- Large-Step Last-Iterate Convergence of Random-Reshuffling Stochastic Gradient Descent
- From Mixing to Tearing: Graph Decomposition in Decentralized Optimization via Message Passing
- Quantitative Mean-Field Limits for Recent Variants of Consensus-Based Optimization
- Learning Provable Neural Network Observer for Uncertain Dynamical Systems