Many streaming algorithms provide only a high-probability relative
appro...
This paper suggests the use of projective clustering based product
quant...
Preventing catastrophic forgetting while continually learning new tasks ...
We analyze the popular kernel polynomial method (KPM) for approximating ...
Many real-world data sets are sparse or almost sparse. One method to mea...
Motivated by demand-responsive parking pricing systems we consider
poste...
The spectrum of a matrix contains important structural information about...
We initiate the study of data dimensionality reduction, or sketching, fo...