1 citations · 1 across the 4 of their papers we have counts for
4 papers
Delete and Retain: Efficient Unlearning for Document Classification
Aadya Goel, Mayuri Sridhar
Machine unlearning aims to efficiently remove the influence of specific training data from a model without full retraining. While much progress has been made in unlearning for LLMs…
Sequential stratified inference for the mean
Jacob V. Spertus, Mayuri Sridhar, Philip B. Stark
We develop conservative tests for the mean of a bounded population under stratified sampling and apply them to risk-limiting post-election audits. The tests are "anytime valid" und…
-Cut: A Simple Approximately-Uniform Method for Sampling Ballots in Post-Election Audits
Mayuri Sridhar, Ronald L. Rivest
We present an approximate sampling framework and discuss how risk-limiting audits can compensate for these approximations, while maintaining their "risk-limiting" properties. Our f…
A Peculiarity in the Parity of Primes
Debayan Gupta, Mayuri Sridhar
We create a simple test for distinguishing between sets of primes and random numbers using just the sum-of-digits function. We find that the sum-of-the-digits of prime numbers does…