"Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms" has been accepted at VLDB 2019

The following paper has been accepted at VLDB 2019 in Los Angeles, California, August 26th to August 30th, 2019.

"Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms" by Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas Spanos, Dawn Song.