We propose a generalization of the standard matched pairs design in whic...
We consider the time and energy complexities of randomized leader electi...
We present a faster interior-point method for optimizing sum-of-squares ...
A common challenge in large-scale supervised learning, is how to exploit...
Many deep learning tasks have to deal with graphs (e.g., protein structu...
We consider the energy complexity of the leader election problem in the
...
This paper considers Bayesian revenue maximization in the k-unit setting...
This paper introduces a new interior point method algorithm that solves
...
Motivated by recent Linear Programming solvers, we design dynamic data
s...
A priority queue is a fundamental data structure that maintains a dynami...