Random graph models with community structure have been studied extensive...
We study the problem of reconstructing a perfect matching M^* hidden in ...
Online convex optimization is a framework where a learner sequentially
q...
Motivated by applications such as discovering strong ties in social netw...
The Metropolis-Hastings method is often used to construct a Markov chain...
Motivated by privacy concerns in many practical applications such as
Fed...
Quantile regression is a tool for learning conditional distributions. In...
We consider the problem of selecting the best estimator among a family o...
A popular class of problem in statistics deals with estimating the suppo...
We give convergence guarantees for estimating the coefficients of a symm...