Markov decision process design: A framework for integrating strategic and operational decisions (S. Brown, S. Sinha, A.J. Schaefer) Operations Research Letters, 2024 (forthcoming). (preprint)
Relaxations and duality for multiobjective integer programming
(A. Dunbar, S. Sinha, A.J. Schaefer) Mathematical Programming, 2023. (link, preprint) Finalist, INFORMS Undergraduate Operations Research Prize, 2020
Characterizing rational transplant program response to outcome-based
regulation (D. Mildebrath, T. Lee, S. Sinha, A.J. Schaefer, A.O. Gaber) Operations Research, 2023. (linkpreprint)
Policy iteration for robust nonstationary Markov decision processes.
(S. Sinha, A. Ghate.) Optimization Letters, Vol 10(8), 1613-1628, 2016. (preprint)
Robust response-guided dosing. (S. Sinha, J. Kotas, A. Ghate)
Operations Research Letters, Vol 44(3), 394-399, 2016.
(link)
Submitted/Under review
On the strength of Lagrangian duality for multiobjective integer programming
(M. Brun, T. Perini, S. Sinha, A.J. Schaefer) Submitted Winner, INFORMS Undergraduate Operations Research Prize, 2022
Working papers
Approximate policy iteration for robust countable-state Markov decision
processes. (S. Sinha, A. Ghate) Submitted
A robust multi-period Newsvendor model with inventory balance constraints
(S. Sinha, M.R. Wagner, A. Ghate)
Incentives in outcome-based regulation for solid organ transplantation
(D. Mildebrath, S. Sinha, T. Lee, A.J. Schaefer, H.J. Huang, A.O. Gaber)
Duality for countably infinite integer programs
(R. Schellenberger, S. Sinha, A.J. Schaefer)
Value iteration for infinite-horizon risk-sensitive Markov decision processes (D. Zhang, S. Sinha, M. Hemmati, A.J. Schaefer)
Survival prediction in lung transplantation (R. Wang, S. Sinha)
Doctoral dissertation
Robust dynamic programming: theory and applications (pdf)