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To overcome computational challenges in traditional optimization algorithms, developed an Iterative L1 Regularized Limited Memory Stochastic BFGS algorithm which drops the hyperparameters iteratively at certain rate as the algorithm proceeds providing exact sparse solutions to big data machine learning optimization problems using significantly less computational memory.