2026
LAPRAS : Learning-Augmented PRivate Answering for linear query Streams.
ICML 2026poster
Modern database workloads are highly predictable: query streams are dominated by recurring jobs and templates, even when their arrival order is not known in advance. This motivates a learning-augmented view of online differentially private (DP) analytics: can algorithms utilize predictions about *wh…