Search Results - Bu, Zhiqi

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  1. 1
    Deep Learning with Gaussian Differential Privacy

    Deep Learning with Gaussian Differential Privacy by Bu, Zhiqi, Dong, Jinshuo, Long, Qi, Su, Weijie J

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  2. 2
    Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

    Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing by Bu, Zhiqi, Klusowski, Jason M., Rush, Cynthia, Su, Weijie J.

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  3. 3
    CEDAR: communication efficient distributed analysis for regressions

    CEDAR: communication efficient distributed analysis for regressions by Chang, Changgee, Bu, Zhiqi, Long, Qi

    Published in Biometrics
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  4. 4
    Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation

    Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation by Bu, Zhiqi

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  5. 5
    Automatic gradient descent with generalized Newton's method

    Automatic gradient descent with generalized Newton's method by Bu, Zhiqi, Xu, Shiyun

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  6. 6
    Differentially Private Optimizers Can Learn Adversarially Robust Models

    Differentially Private Optimizers Can Learn Adversarially Robust Models by Zhang, Yuan, Bu, Zhiqi

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  7. 7
    Efficient Designs of SLOPE Penalty Sequences in Finite Dimension

    Efficient Designs of SLOPE Penalty Sequences in Finite Dimension by Zhang, Yiliang, Bu, Zhiqi

    Published in arXiv.org
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  8. 8
    DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks

    DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks by Xu, Shiyun, Bu, Zhiqi

    Published in arXiv.org
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  9. 9
    Pre-training Differentially Private Models with Limited Public Data

    Pre-training Differentially Private Models with Limited Public Data by Bu, Zhiqi, Zhang, Xinwei, Hong, Mingyi, Zha, Sheng, Karypis, George

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  10. 10
    DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction

    DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction by Zhang, Xinwei, Bu, Zhiqi, Hong, Mingyi, Razaviyayn, Meisam

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  11. 11
    Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data

    Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data by Dai, Zongyu, Bu, Zhiqi, Long, Qi

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  12. 12
    Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy

    Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy by Bu, Zhiqi, Mao, Jialin, Xu, Shiyun

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  13. 13
    Differentially Private Bias-Term Fine-tuning of Foundation Models

    Differentially Private Bias-Term Fine-tuning of Foundation Models by Bu, Zhiqi, Yu-Xiang, Wang, Zha, Sheng, Karypis, George

    Published in arXiv.org
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  14. 14
    Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach

    Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach by Zhang, Xinwei, Bu, Zhiqi, Wu, Zhiwei Steven, Hong, Mingyi

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  15. 15
    CEDAR: Communication Efficient Distributed Analysis for Regressions

    CEDAR: Communication Efficient Distributed Analysis for Regressions by Chang, Changgee, Bu, Zhiqi, Long, Qi

    Published in arXiv.org
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  16. 16
    Zero redundancy distributed learning with differential privacy

    Zero redundancy distributed learning with differential privacy by Bu, Zhiqi, Chiu, Justin, Liu, Ruixuan, Zha, Sheng, Karypis, George

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  17. 17
    Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm

    Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm by Chen, Kan, Bu, Zhiqi, Xu, Shiyun

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  18. 18
    Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

    Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger by Bu, Zhiqi, Yu-Xiang, Wang, Zha, Sheng, Karypis, George

    Published in arXiv.org
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  19. 19
    Differentially Private Optimization on Large Model at Small Cost

    Differentially Private Optimization on Large Model at Small Cost by Bu, Zhiqi, Yu-Xiang, Wang, Zha, Sheng, Karypis, George

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  20. 20
    Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems

    Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems by Dai, Zongyu, Bu, Zhiqi, Long, Qi

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