Optimisation & control
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- Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments
- Model-Guided Design of Nanoparticle Dispersity through Process-Chain Optimization
- Polynomial Acceleration of Alternating Projections: Chebyshev Acceleration, Convergence Rates, and Retractions
- Descent--Ascent Structure of Uniform Nondegeneracy
- Last-Iterate Convergence Rate of Normalized Gradient Descent under Hölder Smoothness
- Structural Foundations of Nonlinear Systems with Unknown Inputs: The UID-Induced Normal Form and Minimal-Sensing Structure-from-Motion
- Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices
- Decision-Tree Surrogates for Weak Counterfactual Explanations in Integer Optimization
- Partial-State Deadzone-Adapted Disturbance Suppression Control For Strict-Feedback Systems
- Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization
- Adaptive control of pool-type research nuclear reactors: theory limits, pragmatic actuation constraints, and realized performance and adaptation
- Learning to Solve Mixed-Integer Nonlinear Programming with Neural Networks and Sequential Quadratic Programming Refinement
- An Inexact Halpern-accelerated Preconditioned Generalized Proximal Point Algorithm for the Maximal Monotone Inclusion Problem
- Data-driven control of linear systems using quantized data
- Observability from Measurable Sets for One-Dimensional Heat Equations with Bounded Spacetime Potentials
- Target-Generated Dirichlet Problems in State-Constrained Stochastic Control
- Payment Design under Belief Disagreement: Rent Placement, Bid Resolution, and Auction Choice
- Vector- and operator-valued backward stochastic equations with finite-variation drivers and a maximum principle for singular stochastic control in infinite dimensions
- T-ARC: Topology-Aware Randomized Clustering via Distributionally Robust Stochastic Block Models
- Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes
- Fully Convergent Projection-based Methods with Momentum under Nonconvex Geometric Constraints
- A note on the convergence guarantees of RLT-based algorithms for polynomial optimization
- Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement
- The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
- Near-Optimal Quantum Lower Bounds for Convex Optimization via Fourier Rank