Learning causal effects from data is a fundamental and well-studied prob...
In this article, the optimal sample complexity of learning the underlyin...
Motivated by the needs of resiliency, scalability, and plug-and-play
ope...
Residential buildings with the ability to monitor and control their net-...
We introduce a general mathematical framework for distributed algorithms...
In this article, a distributed optimization problem for minimizing a sum...
In this article, we present a finite time stopping criterion for consens...
Learning influence pathways of a network of dynamically related processe...
Motivated by the entropy computations relevant to the evaluation of decr...
In this article, we investigate the entropy of a sum of a discrete and a...