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2020 – today
- 2023
[c3]Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang:
Federated Linear Contextual Bandits with User-level Differential Privacy. ICML 2023: 14060-14095- [c2]Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen:
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization. NeurIPS 2023 - [i5]Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath
, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang:
Challenges towards the Next Frontier in Privacy. CoRR abs/2304.06929 (2023) - [i4]Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang:
Federated Linear Contextual Bandits with User-level Differential Privacy. CoRR abs/2306.05275 (2023) - [i3]Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen:
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework. CoRR abs/2306.05734 (2023) - 2022
- [i2]Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su:
Analytical Composition of Differential Privacy via the Edgeworth Accountant. CoRR abs/2206.04236 (2022) - 2021
- [i1]Sen Yuan, Milan Shen, Ilya Mironov, Anderson C. A. Nascimento:
Practical, Label Private Deep Learning Training based on Secure Multiparty Computation and Differential Privacy. IACR Cryptol. ePrint Arch. 2021: 835 (2021)
2010 – 2019
- 2018
- [c1]Minyong R. Lee, Milan Shen:
Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments. KDD 2018: 491-499 - 2017
- [j1]Ching-Kang Ing, Tze Leung Lai, Milan Shen, Kawai Tsang, Shu-Hui Yu:
Multiple Testing in Regression Models With Applications to Fault Diagnosis in the Big Data Era. Technometrics 59(3): 351-360 (2017)
Coauthor Index
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