We consider the online transportation problem set in a metric space
cont...
We consider the online k-median clustering problem in which n points
arr...
We consider a class of optimization problems that involve determining th...
We show that there exist k-colorable matroids that are not
(b,c)-decompo...
This paper considers the basic problem of scheduling jobs online with
pr...
Many tasks use data housed in relational databases to train boosted
regr...
Our main contribution is a polynomial-time algorithm to reduce a
k-color...
We consider the problem of efficiently estimating the size of the inner ...
The majority of learning tasks faced by data scientists involve relation...
Motivated by demand-responsive parking pricing systems we consider
poste...
We consider gradient descent like algorithms for Support Vector Machine ...
We consider the problem of evaluating certain types of functional aggreg...
In this paper, we consider the following dynamic fair allocation problem...
We design and mathematically analyze sampling-based algorithms for
regul...