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A novel derivative-free optimization framework that integrates adaptive sampling with stochastic gradient estimation techniques achieves theoretical convergence and effective empirical performance for unconstrained stochastic optimization problems. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Derivative-free stochastic optimization via adaptive sampling strategies

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