Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Numerical Analysis — 10 papers
• Machine Learning — 4 papers
• Probability — 3 papers
• Statistics Theory — 3 papers
• Systems and Control — 2 papers
• Model Reduction and Neural Networks — 2 papers
• Information Theory — 2 papers
• Optimization and Control — 1 papers
• Analysis of PDEs — 1 papers
• Classical Analysis and ODEs — 1 papers

Highest-Cited Papers

1. The BAR-SOT Method: Long-term Average Cost Control as Stochastic Optimal Self-Transport
2. Mean Square Error Analysis of Stochastic Runge-Kutta Integrators
3. Amnesic Elephant Random Walk with Polynomially Decaying Step Sizes
4. Global front solutions converging to an asymptotic traveling wave in a time-fractional Amari model
5. On the computational cost of Stochastic Gradient Langevin Dynamics
6. Certified Spherical MUSIC for 3D Localization under Adversarial Subspace Perturbations
7. Informativity and Identifiability for Identification of Networks of Dynamical Systems
8. Telegraph Processes with Extrinsic Fluctuations: Burst Dynamics and an Application to Domestic Cat Activity
9. Liquid-State Mathematics: Decoupling Combinatorial Complexity via Continuous Relational Fields and Concurrent Topological Flow
10. A Convergence Framework for Energy Minimization of Linear Self-Adjoint Elliptic PDEs in Nonlinear Approximation Spaces
11. Dynamical Clustering and its Limiting Differential Equations
12. Scalable s-step Preconditioned Conjugate Gradient with Chebyshev Basis and Gauss-Seidel Gram Solve
13. Observable functions of rational ODE models and how to find them
14. Target-adapted Green-Bessel SVGD: uniform-in-time propagation of chaos and last-iterate consistency
15. The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
16. Geometric multiscale analysis via nonstationary subdivision schemes
17. Hyperparameter Selection via Early Stopping for Bayesian Semilinear PDEs
18. Hölder-Logarithmic Stability and Convergence Rates for an Inverse Random Source Problem
19. Recovering linear images of sparse signals from indirect observations
20. Computing accurate singular values using a mixed-precision one-sided Jacobi algorithm