Selected papers

(A full list can be found on google scholar.)

Distribution-uniform strong laws of large numbers Ian Waudby-Smith, Martin Larsson, and Aaditya Ramdas. arXiv

Distribution-uniform anytime-valid inference Ian Waudby-Smith and Aaditya Ramdas. arXiv

Time-uniform central limit theory and asymptotic confidence sequences Ian Waudby-Smith, David Arbour, Ritwik Sinha, Edward H. Kennedy, and Aaditya Ramdas. arXiv

Anytime-valid off-policy inference for contextual bandits Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, and Paul Mineiro. arXiv · ACM/IMS J. of Data Science, 2023

Nonparametric extensions of randomized response for private confidence sets Ian Waudby-Smith, Zhiwei Steven Wu, and Aaditya Ramdas. arXiv · ICML, 2023 (oral)

Estimating means of bounded random variables by betting Ian Waudby-Smith and Aaditya Ramdas. arXiv · J. of the Royal Statistical Society, Series B, 2023 (discussion paper)

RiLACS: Risk-limiting audits via confidence sequences Ian Waudby-Smith, Philip B. Stark, Aaditya Ramdas. arXiv · Intl. Conf. for Electronic Voting (E-Vote-ID), 2021 (best paper award)

Confidence sequences for sampling without replacement Ian Waudby-Smith and Aaditya Ramdas. arXiv · NeurIPS, 2020 (spotlight)