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Any ML model, in principle, can be thought of either an expectation or a multiple stochastic integral under some random measure. There is some deep (no pun intended) mathematics lurking behind such an approach, and it's good to see that this connection is starting to be made and publicised.
The text was updated successfully, but these errors were encountered:
Paper title
Deep Signature Transforms
Author(s)
Bonnier, Patric; Kidger, Patrick; Perez Arribas, Imanol; Salvi, Cristopher; Lyons, Terry
Link to PDF
https://arxiv.org/pdf/1905.08494.pdf
Publication venue (if applicable)
NeurIPS2019
Reason for interest (optional)
Any ML model, in principle, can be thought of either an expectation or a multiple stochastic integral under some random measure. There is some deep (no pun intended) mathematics lurking behind such an approach, and it's good to see that this connection is starting to be made and publicised.
The text was updated successfully, but these errors were encountered: