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

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

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Characterizing the SLOPE trade-off: A variational perspective and the Donoho–Tanner limit von Bu, Zhiqi, Klusowski, Jason M., Rush, Cynthia, Su, Weijie J.

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

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Privacy Amplification via Iteration for Shuffled and Online PNSGD von Sordello, Matteo, Bu, Zhiqi, Dong, Jinshuo

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

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Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity von Xu, Shiyun, Bu, Zhiqi, Chaudhari, Pratik, Barnett, Ian J.

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Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability von Zhang, Qiyiwen, Bu, Zhiqi, Chen, Kan, Long, Qi

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MISNN: Multiple Imputation via Semi-parametric Neural Networks von Bu, Zhiqi, Dai, Zongyu, Zhang, Yiliang, Long, Qi

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

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

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

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

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

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

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

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

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

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

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

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