Selected papers

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

On nonasymptotic confidence intervals for treatment effects in randomized experiments Ricardo J. Sandoval, Sivaraman Balakrishnan, Avi Feller, Michael I. Jordan, and Ian Waudby-Smith. arXiv

Concentration inequalities for strong laws and laws of the iterated logarithm Johannes Rufαβ and Ian Waudby-Smithαβ. arXiv

Universal log-optimality for general classes of e-processes and sequential hypothesis tests Ian Waudby-Smith, Ricardo Sandoval, and Michael I. Jordan. arXiv

Nonasymptotic and distribution-uniform Komlós-Major-Tusnády approximation Ian Waudby-Smith, Martin Larsson, and Aaditya Ramdas. arXiv

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

Distribution-uniform anytime-valid sequential inference Ian Waudby-Smith, Edward H. Kennedy, 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 · The Annals of Statistics, 2024

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, 2024

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)

^αβAlphabetical ordering.