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, 2023 | 38 | 2023 |
Analytical composition of differential privacy via the edgeworth accountant H Wang, S Gao, H Zhang, M Shen, WJ Su arXiv preprint arXiv:2206.04236, 2022 | 18 | 2022 |
The price of competition: Effect size heterogeneity matters in high dimensions H Wang, Y Yang, WJ Su IEEE Transactions on Information Theory 68 (8), 5268-5294, 2022 | 10 | 2022 |
The complete Lasso tradeoff diagram H Wang, Y Yang, Z Bu, W Su Advances in Neural Information Processing Systems 33, 20051-20060, 2020 | 10 | 2020 |
Imitating deep learning dynamics via locally elastic stochastic differential equations J Zhang, H Wang, W Su Advances in Neural Information Processing Systems 34, 6392-6403, 2021 | 5 | 2021 |
在线学习方法综述: 汤普森抽样和其他方法 何斯迈, 金羽佳, 王华, 葛冬冬 运筹学学报 21 (4), 84-102, 2017 | 3 | 2017 |
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework H Wang, S Gao, H Zhang, WJ Su, M Shen arXiv preprint arXiv:2306.05734, 2023 | 1 | 2023 |