Optimisation & control
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- Norm-Cone Conjugation for Nonconvex Optimization: Scalar Duality and Exact Distance Penalization
- Ensemble Kalman Inversion as an Inertial Interacting Particle System
- Active learning strategy for excursion-set confidence regions of functional simulator outputs
- G2 and the Maximally Symmetric (3, 8) Distribution with 6-Dimensional Square
- Optimal Merton's Problem under Multivariate Affine Volterra Models with Jumps
- A Fully Discrete Variational Approximation of Mather Measures and Sets
- A φ-FEM approach for time-dependent domains with unfitted meshes
- Reassessing adult surfactant replacement therapy with mechanics-informed reinforcement learning
- A Geometric Theory of Decision Boundaries in Structured Markov Decision Processes
- Adjustable Robust Optimization with Discrete Uncertainty
- Impact of local capacity investments in energy communities on national decarbonization pathways
- Privacy Preserving Gossip Learning
- Convergence of the Sinkhorn Riemannian metric for finitely supported measures
- Exponential Turnpike in Optimal Boundary Control of Multi-Dimensional First-Order Hyperbolic Systems
- Evaluation of optimisation and Bayesian inference methods for reaction rates in atmospheric chemical mechanisms
- SCMO: Stochastic Control for Optimization over Probability Measures on Infinite-Dimensional Spaces
- A Filippov theorem for Volterra sweeping processes with one-sided Lipschitz perturbation
- Computing Robustness to Sparse Diagonal Uncertainty
- Robust low-rank tensor completion via factorized weighted tensor schatten-p norm minimization
- A hybrid crossover kangaroo escape optimization framework for engineering optimization and UAV path planning
- Lower Bounds for Nonconvex-Concave Minimax Optimization
- Constrained Online Learning with Noisy Constraint Values
- Sharp bounds for stochastic proximal and projection estimators via radial dominance
- Exponential rate of convergence of relative value iteration algorithms for ergodic controls of diffusions
- Rank-Dependent Error Bounds and Near-Optimality in Quantum Control via Hierarchical Tucker Surrogates