Publications

A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie F. Ruan, Yucheng Lu, Christopher De Sa (2023). Coordinating Distributed Example Orders for Provably Accelerated Training. In NeurIPS'23.

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Yucheng Lu, Wentao Guo, Christopher De Sa (2022). GraB: Finding Provably Better Data Permutations than Random Reshuffling. In NeurIPS'22.

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Tao Yu, Wentao Guo, Jianan Canal Li, Tiancheng Yuan, Christopher De Sa (2022). MCTensor: A High-Precision Deep Learning Library with Multi-Component Floating-Point. In HAET workshop at ICML'22.

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Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu (2021). Assessing the efficacy of large language models in generating accurate teacher responses.

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Wentao Guo, Andrew Wang, Bradon Thymes, Thorsten Joachims (0001). Ranking with Slot Constraints.

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