Multiple Testing in Regression Models With Applications to Fault Diagnosis in the Big Data Era. - Ching-Kang Ing; Tze Leung Lai; Milan Shen; Kawai Tsang; Shu-Hui Yu (Technometrics, 2017)

Winner's Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments. - Minyong R. Lee; Milan Shen (KDD, 2018)

Practical, Label Private Deep Learning Training based on Secure Multiparty Computation and Differential Privacy. - Sen Yuan; Milan Shen; Ilya Mironov; Anderson C. A. Nascimento (IACR Cryptol. ePrint Arch., 2021)

Analytical Composition of Differential Privacy via the Edgeworth Accountant. - Hua Wang; Sheng Gao 003; Huanyu Zhang; Milan Shen; Weijie J. Su (CoRR, 2022)

Federated Linear Contextual Bandits with User-level Differential Privacy. - Ruiquan Huang; Huanyu Zhang; Luca Melis; Milan Shen; Meisam Hejazinia; Jing Yang 002 (ICML, 2023)

DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization. - Hua Wang; Sheng Gao 003; Huanyu Zhang; Weijie J. Su; Milan Shen (NeurIPS, 2023)

Challenges towards the Next Frontier in Privacy. - Rachel Cummings; Damien Desfontaines; David Evans 001; Roxana Geambasu; Matthew Jagielski; Yangsibo Huang; Peter Kairouz; Gautam Kamath 001; Sewoong Oh; Olga Ohrimenko; Nicolas Papernot; Ryan Rogers 002; et al. (CoRR, 2023)

DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework. - Hua Wang; Sheng Gao 003; Huanyu Zhang; Weijie J. Su; Milan Shen (CoRR, 2023)