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Found 4 papers, 2 papers with code
Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy
Differential privacy (DP) has various desirable properties, such as robustness to post-processing, group privacy, and amplification by subsampling, which can be derived independently of each other.
Towards Practical Learned Indexing
Latest research proposes to replace existing index structures with learned models.
RadixSpline: A Single-Pass Learned Index
Recent research has shown that learned models can outperform state-of-the-art index structures in size and lookup performance.
SOSD: A Benchmark for Learned Indexes
A groundswell of recent work has focused on improving data management systems with learned components.
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