Feiyang Kang

Feiyang Kang is Ph.D. student at Virginia Tech under the supervision of Prof. Ruoxi Jia. His focus lies in Data-centric AI and trustworthy ML and has published work in Data valuation using optimal transport, influence functions, and data acquisition among others.

Follow Feiyang on LinkedIn or check his Google Scholar profile for updates on his work.

Seminar

LAVA: Data Valuation Without Pre-Specified Learning Algorithms

Today’s talk is about LAVA, an Optimal-Transport-based approach to data valuation that dispenses with training of a model to compute …

Feiyang Kang
Data Valuation