Selected papers

Multi-armed sequential hypothesis testing by betting with Ricardo J. Sandolal and Michael I. Jordan. arXiv

Post-hoc large-sample statistical inference with Ben Chugg, Etienne Gauthier, Michael I. Jordan, and Aaditya Ramdas. arXiv

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

Concentration inequalities for strong laws and laws of the iterated logarithm with Johannes Ruf. arXiv

Universal log-optimality for general classes of e-processes and sequential hypothesis tests with Ricardo J. Sandoval and Michael I. Jordan. arXiv

Nonasymptotic and distribution-uniform Komlós-Major-Tusnády approximation with Martin Larsson and Aaditya Ramdas. arXiv

Distribution-uniform strong laws of large numbers with Martin Larsson and Aaditya Ramdas. arXiv

Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions with Edward H. Kennedy and Aaditya Ramdas. arXiv

Time-uniform central limit theory and asymptotic confidence sequences with David Arbour, Ritwik Sinha, Edward H. Kennedy, and Aaditya Ramdas. arXiv · The Annals of Statistics, 2024

Anytime-valid off-policy inference for contextual bandits with 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 with Zhiwei Steven Wu and Aaditya Ramdas. arXiv · ICML, 2023 (oral)

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

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

Confidence sequences for sampling without replacement with Aaditya Ramdas. arXiv · NeurIPS, 2020 (spotlight)

Additional papers can be found in my CV.