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Ryanr Curtin, Suryoday Basak, Zhihao Lou, Rahul Ganesh Prabhu, Conrad Sanderson, Marcus Edel, Journal Of Machine Learning Research, Machine Learning Research, Augmented Lagrangian, Big Batch, Covariance Matrix Adaptation Evolution Strategy, Neural Evolution, Moving Leader, Incremental Quasi Newton, Gradient Descent, Multi Objective Evolutionary Algorithm, Differential Crossover, Polynomial Mutation, Single Objective, Bayesian Bootstrap, Non Dominated Sorting Genetic Algorithm, Optimistic Adam, Optmistic Mirror Descent, Particles Number, Perturbation Stochastic Approximation, Recursive Gradient Algorithm, Astic Recusive, Coordinate Descent, Mini Batch Stochastic Gradient Descent, Stochastic Gradient Descent, Snapshot Ensembles, Variance Reduced Gradient, Agnostic Learning Rate,