13 citations · 43 across the 18 of their papers we have counts for
4 papers · 1 filter
Distributed stochastic optimization with large delays
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos +2
One of the most widely used methods for solving large-scale stochastic optimization problems is distributed asynchronous stochastic gradient descent (DASGD), a family of algorithms…
On the convergence of mirror descent beyond stochastic convex programming
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos +2
In this paper, we examine the convergence of mirror descent in a class of stochastic optimization problems that are not necessarily convex (or even quasi-convex), and which we call…
Service Rate Control For Jobs with Decaying Value
Neal Master, Nicholas Bambos
The task of completing jobs with decaying value arises in a number of application areas including healthcare operations, communications engineering, and perishable inventory contro…
Efficiency-Loss of Greedy Schedules in Non-Preemptive Processing of Jobs with Decaying Value
Carri W. Chan, Nick Bambos
We consider the problem of dynamically scheduling J jobs on N processors for non-preemptive execution where the value of each job (or the reward garnered upon completion) decays ov…