no code implementations • 14 Nov 2021 • Arsalan SharifNassab, John N. Tsitsiklis
We say that a random variable is $light$-$tailed$ if moments of order $2+\epsilon$ are finite for some $\epsilon>0$; otherwise, we say that it is $heavy$-$tailed$.
no code implementations • 22 May 2019 • Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis
We consider a blind identification problem in which we aim to recover a statistical model of a network without knowledge of the network's edges, but based solely on nodal observations of a certain process.
no code implementations • 6 May 2018 • John N. Tsitsiklis, Kuang Xu, Zhi Xu
We formulate a private learning model to study an intrinsic tradeoff between privacy and query complexity in sequential learning.
no code implementations • 8 Mar 2008 • Angelia Nedić, Alex Olshevsky, Asuman Ozdaglar, John N. Tsitsiklis
We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objective functions through local computations and communications.
Optimization and Control