 Private Learning with Public FeaturesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Private Matrix Factorization with Public Item FeaturesACM Conference on Recommender Systems (RecSys), 2023 |
 Private Distribution Learning with Public Data: The View from Sample
CompressionNeural Information Processing Systems (NeurIPS), 2023 |
 Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be FreeInternational Symposium on Information Theory (ISIT), 2023 |
 Private Estimation with Public DataNeural Information Processing Systems (NeurIPS), 2022 |
 Iterative Methods for Private Synthetic Data: Unifying Framework and New
MethodsNeural Information Processing Systems (NeurIPS), 2021 |
 Leveraging Public Data for Practical Private Query ReleaseInternational Conference on Machine Learning (ICML), 2021 |
 FedBE: Making Bayesian Model Ensemble Applicable to Federated LearningInternational Conference on Learning Representations (ICLR), 2020 Hong-You Chen Wei-Lun Chao |
