518 citations · 1.3k across the 51 of their papers we have counts for
4 papers · 1 filter
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
Hua Wang, Sheng Gao, Huanyu Zhang +2
Hyperparameter optimization, also known as hyperparameter tuning, is a widely recognized technique for improving model performance. Regrettably, when training private ML models, ma…
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
Lei Wu, Weijie J. Su
In this paper, we study the implicit regularization of stochastic gradient descent (SGD) through the lens of {\em dynamical stability} (Wu et al., 2018). We start by revising exist…
Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
Yuling Yan, Weijie J. Su, Jianqing Fan
In 2023, the International Conference on Machine Learning (ICML) required authors with multiple submissions to rank their submissions based on perceived quality. In this paper, we…
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines, David Evans +21
In this article, we present a detailed review of current practices and state-of-the-art methodologies in the field of differential privacy (DP), with a focus of advancing DP's depl…