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


Nov 23, 2022
Zongyu Dai, Zhiqi Bu, Qi Long

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Differentially Private Optimizers Can Learn Adversarially Robust Models


Nov 16, 2022
Yuan Zhang, Zhiqi Bu

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Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation


Nov 09, 2022
Zhiqi Bu

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Differentially Private Bias-Term only Fine-tuning of Foundation Models


Oct 04, 2022
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

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Differentially Private Optimization on Large Model at Small Cost


Sep 30, 2022
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

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CEDAR: Communication Efficient Distributed Analysis for Regressions


Jul 01, 2022
Changgee Chang, Zhiqi Bu, Qi Long

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Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger


Jun 14, 2022
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

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


May 21, 2022
Zhiqi Bu, Jialin Mao, Shiyun Xu

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Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity


Feb 25, 2022
Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett

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


Dec 21, 2021
Zongyu Dai, Zhiqi Bu, Qi Long

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