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Zhiqi Bu
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Year
Deep learning with Gaussian differential privacy
Z Bu, J Dong, Q Long, WJ Su
Harvard data science review 2020 (23), 2020
2022020
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
Z Bu, YX Wang, S Zha, G Karypis
Advances in Neural Information Processing Systems, 2023
422023
Accuracy, interpretability, and differential privacy via explainable boosting
H Nori, R Caruana, Z Bu, JH Shen, J Kulkarni
International Conference on Machine Learning, 8227-8237, 2021
412021
Fast and memory efficient differentially private-SGD via JL projections
Z Bu, S Gopi, J Kulkarni, YT Lee, H Shen, U Tantipongpipat
Advances in Neural Information Processing Systems 34, 19680-19691, 2021
402021
On the convergence and calibration of deep learning with differential privacy
Z Bu, H Wang, Z Dai, Q Long
Transactions on Machine Learning Research (2023)., 2021
402021
Scalable and efficient training of large convolutional neural networks with differential privacy
Z Bu, J Mao, S Xu
Advances in Neural Information Processing Systems 35, 38305-38318, 2022
352022
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Z Bu, JM Klusowski, C Rush, WJ Su
IEEE Transactions on Information Theory 67 (1), 506-537, 2020
312020
Algorithmic analysis and statistical estimation of SLOPE via approximate message passing
Z Bu, J Klusowski, C Rush, W Su
Advances in Neural Information Processing Systems 32, 2019
302019
Differentially private bias-term fine-tuning of foundation models
Z Bu, YX Wang, S Zha, G Karypis
International Conference on Machine Learning, 2024
29*2024
Differentially private optimization on large model at small cost
Z Bu, YX Wang, S Zha, G Karypis
International Conference on Machine Learning, 3192-3218, 2023
212023
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
Z Dai, Z Bu, Q Long
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
212021
Sparse neural additive model: Interpretable deep learning with feature selection via group sparsity
S Xu, Z Bu, P Chaudhari, IJ Barnett
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
142023
A dynamical view on optimization algorithms of overparameterized neural networks
Z Bu, S Xu, K Chen
International Conference on Artificial Intelligence and Statistics, 3187-3195, 2021
122021
Differentially private bayesian neural networks on accuracy, privacy and reliability
Q Zhang, Z Bu, K Chen, Q Long
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
112022
Characterizing the SLOPE trade-off: a variational perspective and the Donoho-Tanner limit
Z Bu, J Klusowski, C Rush, WJ Su
The Annals of Statistics, 2022
102022
The complete LASSO tradeoff diagram
H Wang, Y Yang, Z Bu, W Su
Advances in Neural Information Processing Systems 33, 20051-20060, 2020
102020
Efficient designs of SLOPE penalty sequences in finite dimension
Y Zhang, Z Bu
International Conference on Artificial Intelligence and Statistics, 3277-3285, 2021
82021
Privacy amplification via iteration for shuffled and online PNSGD
M Sordello, Z Bu, J Dong
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
82021
CEDAR: communication efficient distributed analysis for regressions
C Chang, Z Bu, Q Long
Biometrics 79 (3), 2357-2369, 2023
42023
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
X Zhang, Z Bu, ZS Wu, M Hong
International Conference on Learning Representations, 2023
32023
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Articles 1–20