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stat.ML2024
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma, Ke Jia, Hanfang Yang
Previous studies yielded discouraging results for item-level locally differentially private linear regression with -sparsity assumption, where the minimax rate for sample…
cs.CL2024
ALTER: Augmentation for Large-Table-Based Reasoning
Han Zhang, Yuheng Ma, Hanfang Yang
While extensive research has explored the use of large language models (LLMs) for table-based reasoning, most approaches struggle with scalability when applied to large tables. To…
stat.ML2024
Locally Private Estimation with Public Features
Yuheng Ma, Ke Jia, Hanfang Yang
We initiate the study of locally differentially private (LDP) learning with public features. We define semi-feature LDP, where some features are publicly available while the remain…