Tabular Data Augmentation for Mixed Data

Aus SDQ-Institutsseminar
Vortragende(r) Thomas Frank
Vortragstyp Proposal
Betreuer(in) Federico Matteucci
Termin Fr 29. April 2022
Vortragsmodus in Präsenz
Kurzfassung Augmentation techniques can be helpful, for instance, to improve the performance of a weak predictor or to satisfy privacy constraints. Our plan is to devise and compare augmentation pipelines on mixed data.