Latest Research in Optimization and Control

Top Research Topics in Optimization and Control

• Optimization and Control — 15 papers
• Numerical Analysis — 9 papers
• Machine Learning — 9 papers
• Statistics Theory — 9 papers
• Machine Learning — 6 papers
• Computation — 6 papers
• Probability — 6 papers
• Information Theory — 4 papers
• Methodology — 2 papers
• Computer Graphics and Visualization Techniques — 1 papers

Highest-Cited Papers

1. Generative Integration of CG Decomposition and Dual Structures for Stable Geometric Flows
2. Kinetic interacting particle Langevin Monte Carlo
3. A Mathematical Theory of Pragmatic Information
4. A Unified Framework for Wasserstein Convergence of ULMC Methods beyond Log-Concavity: Old and New
5. Spectral gap of Metropolis-within-Gibbs under log-concavity
6. An operator splitting analysis of Wasserstein--Fisher--Rao gradient flows
7. Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
8. Fast Learning Rates for Physics-Informed Kernel Methods
9. Fast replica exchange stochastic gradient Langevin dynamics (2 citations)
10. Derivative-Free Structured Updates for Muon
11. Policy Iteration for Stationary Discounted Hamilton--Jacobi--Bellman Equations: A Viscosity Approach
12. Penalty-Uniform Localization for State-Constrained Policy Iteration
13. Kinetic Interacting Particle Langevin Monte Carlo
14. Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification
15. Approximating Measures on Function Spaces: Transport and Truncation
16. Weighted Laplacian Flow: A Deterministic Particle Flow with Exponential Convergence
17. Ceiling-Normalized Storage Bounds for Binary Tensor Trains: Exact scaling laws and compression crossovers for quantics representations
18. Universal Estimation of the Fisher Information for Processes with Memory
19. SCMO: Stochastic Control for Optimization over Probability Measures on Infinite-Dimensional Spaces
20. Markov Chain Monte Carlo with Diffusion Paths