Heuristic Algorithms

Apr 27, 2016
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Md Sarowar Morshed
Md Sarowar Morshed
Operations Research Engineer

My research interests include mathematical optimization, operations research and machine learning.

Publications

A Computational Framework for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference
In this work, we propose greedy algorithms to solve the robust causal inference test instances from observational data with continuous outcomes. We propose a unique framework to reformulate the nonlinear binary optimization problems as feasibility problems. By leveraging the structure of the feasibility formulation, we develop greedy schemes that are efficient in solving robust test problems.
Md Saiful Islam, Md Sarowar Morshed, Md Noor-E-Alam
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Robust Policy Evaluation from Large-Scale Observational Studies
In this work, we consider causal inference testing with binary outcomes and propose computationally efficient algorithms that are adaptable for large-scale observational studies. By leveraging the structure of the optimization model, we propose a robustness condition that further reduces the computational burden.
Md Saiful Islam, Md Sarowar Morshed, Gary J. Young, Md Noor-E-Alam
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