"Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions"

accepted at VLDB 2021

The following paper has been accepted at 47th International Conference on Very Large Data Bases (external pageVLDB 2021):

"Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions" by Bojan Karlaš 1(ETH), Peng Li1 (Georgia Institute of Technology), Renzhi Wu (Georgia Institute of Technology), Nezihe Merve Gürel (ETH), Xu Chu (Georgia Institute of Technology), Wentao Wu (Microsoft Research), Ce Zhang (ETH).

The first two authors contributed equally to this work

 

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