We consider a class of optimization problems that involve determining th...
Many tasks use data housed in relational databases to train boosted
regr...
Sketching is a powerful dimensionality reduction technique for accelerat...
We consider the problem of efficiently estimating the size of the inner ...
The majority of learning tasks faced by data scientists involve relation...
We consider gradient descent like algorithms for Support Vector Machine ...
We consider the problem of evaluating certain types of functional aggreg...
We design and mathematically analyze sampling-based algorithms for
regul...