Showing math.STShow all
3 papers · 1 filter
math.ST2026
Statistical Unlearning of Distributions: A Hypothesis Testing Approach
Aaradhya Pandey, Sanjeev Kulkarni
Machine learning systems increasingly face requirements to forget not only individual data points, but entire domains of information, such as toxic language, copyrighted corpora, o…
math.ST2025
Infinitely divisible privacy and beyond I: resolution of the conjecture
Aaradhya Pandey, Arian Maleki, Sanjeev Kulkarni
Differential privacy is increasingly formalized through the lens of hypothesis testing via the robust and interpretable -DP framework, where privacy guarantees are encoded by a…
math.ST2024
Exact recovery in Gaussian weighted stochastic block model and planted dense subgraphs: Statistical and algorithmic thresholds
Aaradhya Pandey, Sanjeev Kulkarni
In this paper, we study the exact recovery problem in the Gaussian weighted version of the Stochastic block model with two symmetric communities. We provide the information-theoret…