Esmaeil Keyvanshokooh

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering

500 S. State Street

Ann Arbor, MI 48109

United States

SCHOLARLY PAPERS

4

DOWNLOADS

110

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

Online Advance Scheduling with Overtime: A Primal-Dual Approach

Number of pages: 43 Posted: 05 Apr 2019 Last Revised: 26 May 2019
Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 110 (270,540)

Abstract:

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advance scheduling; online resource allocation; online algorithms; competitive analysis

2.

Advance Scheduling with Personalized Learning

Posted: 10 Mar 2020
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor

Abstract:

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advance scheduling, online learning, contextual bandit; online resource allocation; regret analysis; personalized healthcare services

3.

Contextual Learning with Online Convex Optimization: Theory and Application to Chronic Diseases

Posted: 31 Dec 2019
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor and Massachusetts General Hospital

Abstract:

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online learning algorithms, regret analysis, contextual bandit, stochastic sub-gradient descent, personalized medicine, disease progression, type 2 diabetes.

4.

Personalized Hospital Admission Control: A Contextual Learning Approach

Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor

Abstract:

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online learning, contextual bandit, regret analysis, readmission, personalized admission control