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Reducing Per-Sample Harm in Stochastic Optimization

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Researchers have developed a new method to reduce AI

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Reducing Per-Sample Harm in Stochastic Optimization

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  1. arXiv stat.ML TIER_1 English(EN) · Apostolos Avranas ·

    Reducing Per-Sample Harm in Stochastic Optimization

    arXiv:2607.16261v1 Announce Type: cross Abstract: Modern optimizers combine gradients from the current mini-batch with historical optimization state, such as momentum or adaptive moments. While highly effective, aggregating across the batch and incorporating this history can prod…