2 papers
cs.LG2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky +3
On tabular data, a significant body of literature has shown that current deep learning (DL) models perform at best similarly to Gradient Boosted Decision Trees (GBDTs), while signi…
cs.IT2012
Semi-Definite Programming Relaxation for Non-Line-of-Sight Localization
Venkatesan Ekambaram, Giulia Fanti, Kannan Ramchandran
We consider the problem of estimating the locations of a set of points in a k-dimensional euclidean space given a subset of the pairwise distance measurements between the points. W…