-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
Transforming recursion into iteration eliminates the use of stack frames during program execution. It has been studied extensively. This paper describes a powerful and systematic ...
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...