2 papers
math.ST2024
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
Arnab Auddy, T. Tony Cai, Abhinav Chakraborty
This paper considers minimax and adaptive transfer learning for nonparametric classification under the posterior drift model with distributed differential privacy constraints. Our…
math.ST2024
Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms
T. Tony Cai, Dongwoo Kim, Hongming Pu
This paper studies transfer learning for estimating the mean of random functions based on discretely sampled data, where, in addition to observations from the target distribution,…