Published Papers
Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes.
P. Pakiman, S. Nadarajah, N. Soheili, Q. Lin.
Published in Management Science.
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine.
A. Chenreddy, P. Pakiman, S. Nadarajah, R. Chandrasekaran, R. Abens.
Published in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019).


Under Review / Working Papers
Dynamic Optimization of Workforce Talent.
D. Adelman, A. J. Mersereau, P. Pakiman.
Under review at Operations Research.
Adaptive Risk Mitigation in Demand Learning
P. Pakiman, B. Chen, S. Nadarajah, S. Jasin.
In preparation for submission to Manufacturing & Service Operations Management.
Back to the Future: Revisiting a Pioneering Approximation of Average Cost Markov Decision Processes Using a Multi-Shot Perspective
P. Pakiman, S. Nadarajah.
In preparation for submission to INFORMS Journal on Computing.

Work In-Progress
Performance-blind and Data-driven Dynamic Assignment.
D. Adelman, C. Keceli, P. Pakiman.
Work in progress.
Retrospective Approximate Dynamic Programming.
D. Adelman, P. Pakiman.
Work in progress.
Randomized Multi-Shot Least Squares Monte Carlo for Option Exercise.
S. Nadarajah, P. Pakiman.
Work in progress.