We propose a label poisoning attack on geometric data sets against
k-nea...
The Lightning Network (LN) has enjoyed rapid growth over recent years, a...
The multi-commodity flow-cut gap is a fundamental parameter that affects...
Ensuring fairness in computational problems has emerged as a key topic
d...
We study the problem of finding a mapping f from a set of points into th...
The problem of computing a bi-Lipschitz embedding of a graphical metric ...
We consider the problem of computing the maximum likelihood multivariate...
Learning Mahalanobis metric spaces is an important problem that has foun...
We study the problem of computing the maximum likelihood estimator (MLE)...
Parallel aggregation is a ubiquitous operation in data analytics that is...
We study the problem of supervised learning a metric space under
discrim...
Partisan gerrymandering is a major cause for voter disenfranchisement in...
We study the problem of learning multivariate log-concave densities with...
Two important optimization problems in the analysis of geometric data se...
We study the problem of finding a minimum-distortion embedding of the
sh...
We study the complexity of geometric problems on spaces of low fractal
d...
The problem of routing in graphs using node-disjoint paths has received ...
The multi-commodity flow-cut gap is a fundamental parameter that affects...
We study hierarchical clusterings of metric spaces that change over time...