Author

Aravindan Raghuveer

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#machine learning Oct 2023

Label Differential Privacy via Aggregation

This paper demonstrates that aggregating labels from sub-sampled disjoint $k$-sized bags using i.i.d. weights allows for similar label-DP guarantees when aggregating labels over random disjoint bags, while preserving the utility of Lipschitz-bounded neural mse-regression tasks.

Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar et al. · arXiv.org · 1 citation · ⚡1

Jul 2026

Test-Time Scaling via Error Localization

This work introduces Test-Time Scaling via Error Localization (TTEL), an inference-time algorithm that utilizes fixed or environment feedback to perform token-level error localization and establishes strictly dominating Pareto frontiers across sequential reasoning domains.

Rajiv Shailesh Chitale, Rahul Madhavan, Taneesh Gupta et al. · arXiv.org · 0 citations