Neural operators approximate strongly continuous convex monotone semigroups
math.NA, cs.LG, cs.NA, math.AP, math.PR, stat.ML
Submitted: 2026-09-02
Updated: 2026-09-02
Code: https://github.com/sgarale/chernoff_
Terminology
Sources
- Discrete approximation of risk-based prices under volatility uncertainty
- Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations
- Deep Learning Approximation for Stochastic Control Problems
- Kernel Learning of PDE Solution Operators
- An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning
- Generative Neural Operators of Log-Complexity Can Simultaneously Solve Infinitely Many Convex Programs
- Fourier Neural Operator for Parametric Partial Differential Equations
- Mathematical theory of deep learning
- Weighted universal approximation of differentiable maps on infinite-dimensional manifolds
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