activity
20082021
most citedFairness in overloaded parallel queues

13 citations · 28 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2021★ 5 cited

Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage

Julien Grand-Clément, You Hui Goh, Carri Chan +2

Rationing of healthcare resources is a challenging decision that policy makers and providers may be forced to make during a pandemic, natural disaster, or mass casualty event. Well…

cs.LG2020★ 9 cited

Robust Policies For Proactive ICU Transfers

Julien Grand-Clement, Carri W. Chan, Vineet Goyal +1

Patients whose transfer to the Intensive Care Unit (ICU) is unplanned are prone to higher mortality rates than those who were admitted directly to the ICU. Recent advances in machi…

eess.SY2016

Myopic Policies for Non-Preemptive Scheduling of Jobs with Decaying Value

Neal Master, Carri W. Chan, Nicholas Bambos

In many scheduling applications, minimizing delays is of high importance. One adverse effect of such delays is that the reward for completion of a job may decay over time. Indeed i…

math.DS2010★ 13 cited

Fairness in overloaded parallel queues

Carri W. Chan, Mor Armony, Nicholas Bambos

Maximizing throughput for heterogeneous parallel server queues has received quite a bit of attention from the research community and the stability region for such systems is well u…

math.OC2009★ 1 cited

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…

math.OC2008

Stochastic Depletion Problems: Effective Myopic Policies for a class of Dynamic Optimization Problems

Carri W. Chan, Vivek F. Farias

This paper presents a general class of dynamic stochastic optimization problems we refer to as Stochastic Depletion Problems. A number of challenging dynamic optimization problems…