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Zhiqi Bu
Zhiqi Bu
Amazon AGI
Bestätigte E-Mail-Adresse bei sas.upenn.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep learning with Gaussian differential privacy
Z Bu, J Dong, Q Long, WJ Su
Harvard data science review 2020 (23), 2020
2382020
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
Z Bu, YX Wang, S Zha, G Karypis
Advances in Neural Information Processing Systems 36, 2023
662023
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
592022
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
522021
Differentially Private Bias-Term Fine-tuning of Foundation Models
Z Bu, YX Wang, S Zha, G Karypis
International Conference on Machine Learning, 2024
51*2024
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
492021
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
472023
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
452021
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
362020
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
312019
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
292021
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
212023
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
152021
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
14*2022
The complete LASSO tradeoff diagram
H Wang, Y Yang, Z Bu, W Su
Advances in Neural Information Processing Systems 33, 20051-20060, 2020
122020
Characterizing the SLOPE trade-off: A variational perspective and the Donoho–Tanner limit
Z Bu, JM Klusowski, C Rush, WJ Su
The Annals of Statistics 51 (1), 33-61, 2023
112023
Differentially private SGD without clipping bias: An error-feedback approach
X Zhang, Z Bu, ZS Wu, M Hong
International Conference on Learning Representations, 2023
82023
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
Efficient designs of SLOPE penalty sequences in finite dimension
Y Zhang, Z Bu
International Conference on Artificial Intelligence and Statistics, 3277-3285, 2021
72021
CEDAR: communication efficient distributed analysis for regressions
C Chang, Z Bu, Q Long
Biometrics 79 (3), 2357-2369, 2023
52023
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