2 citations · 2 across the 1 of their papers we have counts for
4 papers
Asynchronous Decentralized Stochastic Optimization in Heterogeneous Networks
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
We consider expected risk minimization in multi-agent systems comprised of distinct subsets of agents operating without a common time-scale. Each individual in the network is charg…
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
We consider learning problems over training sets in which both, the number of training examples and the dimension of the feature vectors, are large. To solve these problems we prop…
Decentralized Dynamic Discriminative Dictionary Learning
Alec Koppel, Garrett Warnell, Ethan Stump +1
We consider discriminative dictionary learning in a distributed online setting, where a network of agents aims to learn a common set of dictionary elements of a feature space and m…
Doubly Random Parallel Stochastic Methods for Large Scale Learning
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
We consider learning problems over training sets in which both, the number of training examples and the dimension of the feature vectors, are large. To solve these problems we prop…