Vineet Gupta develops algorithms for training machine learning models, including the Shampoo optimizer and memory-efficient adaptive optimization. His co-authored Google research combines mathematical analysis with practical approaches to training large neural networks.

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Vineet Gupta develops algorithms for training machine learning models, including the Shampoo optimizer and memory-efficient adaptive optimization. His co-authored Google research combines mathematical analysis with practical approaches to training large neural networks.

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Shampoo: Preconditioned Stochastic Tensor Optimization

Vineet’s co-authored paper introduces Shampoo, an optimizer that uses tensor structure to make matrix preconditioning practical for neural-network training.

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