1 code implementation • NeurIPS 2021 • Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, Dan Feldman
Its regression or classification loss to a given matrix $D$ of $N$ entries (labels) is the sum of squared differences over every label in $D$ and its assigned label by $t$.
no code implementations • 12 Oct 2020 • Ilan Newman, Nithin Varma
There are no better lower bounds for LIS estimation than the obvious bounds implied by testing monotonicity (for adaptive or nonadaptive algorithms).
Data Structures and Algorithms
