2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DS2022★ 2 cited
Parsimonious Learning-Augmented Caching
Sungjin Im, Ravi Kumar, Aditya Petety +1
Learning-augmented algorithms -- in which, traditional algorithms are augmented with machine-learned predictions -- have emerged as a framework to go beyond worst-case analysis. Th…
cs.LG2019★ 1 cited
Attribute noise robust binary classification
Aditya Petety, Sandhya Tripathi, N Hemachandra
We consider the problem of learning linear classifiers when both features and labels are binary. In addition, the features are noisy, i.e., they could be flipped with an unknown pr…