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Guoqiang Wu

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DiffAIL: Diffusion Adversarial Imitation Learning

Dec 12, 2023
Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin

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Toward Understanding Generative Data Augmentation

May 27, 2023
Chenyu Zheng, Guoqiang Wu, Chongxuan Li

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Towards Understanding Generalization of Macro-AUC in Multi-label Learning

May 09, 2023
Guoqiang Wu, Chongxuan Li, Yilong Yin

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Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Feb 05, 2023
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu

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Deep Ensemble as a Gaussian Process Approximate Posterior

Apr 30, 2022
Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu

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On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms

Jul 21, 2021
Shuyu Cheng, Guoqiang Wu, Jun Zhu

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Stability and Generalization of Bilevel Programming in Hyperparameter Optimization

Jun 08, 2021
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang

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Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization

May 10, 2021
Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu

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Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?

Nov 16, 2020
Guoqiang Wu, Jun Zhu

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Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification

Nov 05, 2019
Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu

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