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
Back to the Future: Revisiting a Pioneering Approximation of Average Cost Markov Decision Processes Using a Multi-Shot Perspective
P. Pakiman, S. Nadarajah.
Under review at Operations Research.
Dynamic Optimization of Workforce Talent.
D. Adelman, A. J. Mersereau, P. Pakiman.
Under review at Operations Research.
Self-adapting Risk Management in Dynamic Pricing with Demand Learning.
P. Pakiman, B. Chen, S. Nadarajah, S. Jasin.
In preparation for re-submission to Manufacturing & Service Operations Management.


Work In-Progress
Equitable and Data-driven Dynamic Matching.
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.