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Difan Zou

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Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference

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Apr 22, 2024
Yujin Han, Difan Zou

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The Dog Walking Theory: Rethinking Convergence in Federated Learning

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Apr 18, 2024
Kun Zhai, Yifeng Gao, Xingjun Ma, Difan Zou, Guangnan Ye, Yu-Gang Jiang

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What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks

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Apr 02, 2024
Xingwu Chen, Difan Zou

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Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems

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Mar 29, 2024
Junwei Su, Difan Zou, Chuan Wu

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On the Benefits of Over-parameterization for Out-of-Distribution Generalization

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Mar 26, 2024
Yifan Hao, Yong Lin, Difan Zou, Tong Zhang

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An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling

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Mar 10, 2024
Xunpeng Huang, Hanze Dong, Difan Zou, Tong Zhang

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Towards Robust Graph Incremental Learning on Evolving Graphs

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Feb 20, 2024
Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu

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PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks

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Feb 06, 2024
Junwei Su, Difan Zou, Chuan Wu

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Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo

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Jan 12, 2024
Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang

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Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates

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Oct 26, 2023
Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou

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