Error bounds of the invariant statistics in machine learning of ergodic Itô diffusions

Keyphrases

• Machine Learning 100%
• Ergodic 100%
• Invariant Statistics 100%
• Error Bound 100%
• Linear Dependence 100%
• Learning Algorithm 66%
• Drift Coefficient 66%
• Convergence Property 33%
• One-point 33%
• Diffusion Coefficient 33%
• L2 Norm 33%
• Stochastic Differential Equations 33%
• Solution Existence 33%
• Perturbation Theory 33%
• Consistent Estimator 33%
• Two-point 33%
• Regression Method 33%
• Generalized Learning 33%
• Lipschitz 33%
• Linear Response Theory 33%
• Generalization Error 33%
• Kernel-based 33%
• Hypothesis Space 33%
• Systems of Stochastic Differential Equations 33%

Mathematics

• Linear Dependence 100%
• Error Bound 100%
• Stochastic Differential Equation 66%
• Perturbation Theory 33%
• Sufficient Condition 33%
• Neural Network 33%
• Consistent Estimator 33%
• Convergence Property 33%
• Growth Condition 33%