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2022

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Quanquan Gu

Quanquan Gu is an associate professor of computer science at UCLA, where he researches artificial intelligence and machine learning. His work develops and analyzes optimization algorithms and builds theoretical foundations for deep learning and reinforcement learning, including methods for training large models.

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Quanquan Gu

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University of Illinois Urbana-Champaign

Ph.D. degree

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tilos.ai

Unleashing the Power of Variance Reduction for Training Large Models

A TILOS talk introducing the MARS optimization framework and its use of variance reduction for training large models.

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Quanquan Gu

University of Illinois Urbana-Champaign

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Unleashing the Power of Variance Reduction for Training Large Models

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Quanquan Gu

University of Illinois Urbana-Champaign

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Unleashing the Power of Variance Reduction for Training Large Models

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