Search Results - You, Chong

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  1. 1
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    Recovery and Generalization in Over-Realized Dictionary Learning by Sulam, Jeremias, You, Chong, Zhu, Zhihui

    Published 2020
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  2. 2
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    Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis by Robinson, Daniel P., Vidal, Rene, You, Chong

    Published 2019
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  3. 3
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    Stochastic Sparse Subspace Clustering by Chen, Ying, Li, Chun-Guang, You, Chong

    Published 2020
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  4. 4
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    A Critique of Self-Expressive Deep Subspace Clustering by Haeffele, Benjamin D., You, Chong, Vidal, René

    Published 2020
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  5. 5
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    Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization by You, Chong, Zhu, Zhihui, Qu, Qing, Ma, Yi

    Published 2020
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  6. 6
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    Incremental Learning via Rate Reduction by Wu, Ziyang, Baek, Christina, You, Chong, Ma, Yi

    Published 2020
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  7. 7
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    Robust Training under Label Noise by Over-parameterization by Liu, Sheng, Zhu, Zhihui, Qu, Qing, You, Chong

    Published 2022
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  8. 8
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    Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces by You, Chong, Li, Chi, Robinson, Daniel P., Vidal, Rene

    Published 2020
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  9. 9
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    Learning a Self-Expressive Network for Subspace Clustering by Zhang, Shangzhi, You, Chong, Vidal, René, Li, Chun-Guang

    Published 2021
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  10. 10
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    Rethinking Bias-Variance Trade-off for Generalization of Neural Networks by Yang, Zitong, Yu, Yaodong, You, Chong, Steinhardt, Jacob, Ma, Yi

    Published 2020
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  11. 11
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    Is an Affine Constraint Needed for Affine Subspace Clustering? by You, Chong, Li, Chun-Guang, Robinson, Daniel P., Vidal, Rene

    Published 2020
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  12. 12
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    Deep Isometric Learning for Visual Recognition by Qi, Haozhi, You, Chong, Wang, Xiaolong, Ma, Yi, Malik, Jitendra

    Published 2020
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  13. 13
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    It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models by Chen, Lin, Lukasik, Michal, Jitkrittum, Wittawat, You, Chong, Kumar, Sanjiv

    Published 2023
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  14. 14
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    Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction by Yu, Yaodong, Chan, Kwan Ho Ryan, You, Chong, Song, Chaobing, Ma, Yi

    Published 2020
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  15. 15
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    On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features by Zhou, Jinxin, Li, Xiao, Ding, Tianyu, You, Chong, Qu, Qing, Zhu, Zhihui

    Published 2022
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  16. 16
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    Scalable In-context Ranking with Generative Models by Gupta, Nilesh, You, Chong, Bhojanapalli, Srinadh, Kumar, Sanjiv, Dhillon, Inderjit, Yu, Felix

    Published 2025
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  17. 17
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    Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe by You, Chong, Jayaram, Rajesh, Suresh, Ananda Theertha, Nittka, Robin, Yu, Felix, Kumar, Sanjiv

    Published 2025
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  18. 18
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    Deep Networks from the Principle of Rate Reduction by Chan, Kwan Ho Ryan, Yu, Yaodong, You, Chong, Qi, Haozhi, Wright, John, Ma, Yi

    Published 2020
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  19. 19
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    A Geometric Analysis of Neural Collapse with Unconstrained Features by Zhu, Zhihui, Ding, Tianyu, Zhou, Jinxin, Li, Xiao, You, Chong, Sulam, Jeremias, Qu, Qing

    Published 2021
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  20. 20
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    ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction by Chan, Kwan Ho Ryan, Yu, Yaodong, You, Chong, Qi, Haozhi, Wright, John, Ma, Yi

    Published 2021
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