Search Results for author:
Found 3 papers, 1 papers with code
Misspecification uncertainties in near-deterministic regression
The expected loss is an upper bound to the model generalization error which admits robust PAC-Bayes bounds for learning.
Improving Estimation of the Koopman Operator with Kolmogorov-Smirnov Indicator Functions
It has become common to perform kinetic analysis using approximate Koopman operators that transforms high-dimensional time series of observables into ranked dynamical modes.
Regression-based projection for learning Mori-Zwanzig operators
We propose to adopt statistical regression as the projection operator to enable data-driven learning of the operators in the Mori--Zwanzig formalism.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
