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Mingrui Liu

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Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis

Jan 17, 2024
Jie Hao, Xiaochuan Gong, Mingrui Liu

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LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-term Self-Localization

Oct 11, 2023
Mingrui Liu, Xinyang Tang, Yeqiang Qian, Jiming Chen, Liang Li

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Stability and Generalization for Minibatch SGD and Local SGD

Oct 02, 2023
Yunwen Lei, Tao Sun, Mingrui Liu

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EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data

Feb 14, 2023
Michael Crawshaw, Yajie Bao, Mingrui Liu

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On Inferring User Socioeconomic Status with Mobility Records

Nov 15, 2022
Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao

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Robustness to Unbounded Smoothness of Generalized SignSGD

Aug 23, 2022
Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang

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Fast Composite Optimization and Statistical Recovery in Federated Learning

Jul 17, 2022
Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu

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Will Bilevel Optimizers Benefit from Loops

Jun 01, 2022
Kaiyi Ji, Mingrui Liu, Yingbin Liang, Lei Ying

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A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks

May 10, 2022
Mingrui Liu, Zhenxun Zhuang, Yunwei Lei, Chunyang Liao

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Understanding AdamW through Proximal Methods and Scale-Freeness

Jan 31, 2022
Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona

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