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