Optimisation & control
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- Stochastic Model-Based Methods for Minimizing Paraconvex Functions
- A global stochastic maximum principle for forward-backward stochastic control systems with quadratic convex generator and unbounded terminal condition
- A Two-Stage Stochastic Facility Location Problem with Endogenous Demand Learning
- Structure-Adaptive Tree Field Integrators
- An Intersection Cutting Plane Algorithm for Chance-Constrained Programs with Finite Support
- Mixed-Noise Plug-and-Play with Infimal Convolution Fidelities and Multiple Priors
- DCEmbed: Scalable Optimization over Neural Surrogates
- Higher-Order Mean-Field Control Barrier Functions
- dOPT: Differentiating Conic Optimization via Geometric Reduction
- Accelerated Consensus and Decentralized Optimization over Slowly Varying Networks
- Annealed Sinkhorn with Momentum: Certified Unregularized Optimal Transport in Linear Memory
- Restricted-Multiplier Positivstellensätze for Polynomial Optimization with Affine Parameters
- A Novel Approach for the SDIR Epidemic Model on Online Social Networks
- lapanda: A Matrix-Free Differentiable Solver for Nonconvex Constrained Optimization Layers
- The cost of useful natural gradient updates
- Geometric Identification in Predict-Then-Optimize Learning
- DAOCP: a dual active set solver for optimal control problems
- A Curved-Path Refinement of the Kalai--Kleitman Diameter Bound
- Recovering Lower-Dimensional Semialgebraic Support of a Measure from its Moments
- Accelerated Stochastic Method under (H0,H1)-Smoothness and Heavy-Tailed Noise
- Local LMO is Secretly a Projection Method!
- The Price of Locality: Why Forward-Forward Underperforms Backpropagation?
- Complexity analysis of trust-region methods under (α,L0,L1)-smoothness
- Tensor nuclear norm minimization with linear constraints
- An Adaptive, Parallel, and Inexact Newton Method for Large-scale Nonlinear Optimal Control