numerical methods
Algorithms for approximating solutions to mathematical problems that cannot be solved analytically, often employed in optimization tasks in machine learning.
- A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
- OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
- Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
- Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
- Revisiting Orbital Minimization Method for Neural Operator Decomposition
- UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations