"Curiouser and curiouser!" Cried Alice.

Some selected papers. For a full list see my CV.

Preprints

Post-hoc large-sample statistical inference B. Chugg*, E. Gauthier*, M.I. Jordan, A. Ramdas, I. Waudby-Smith.

Closed-form empirical Bernstein confidence sequences for scalars and matrices B. Chugg, A. Ramdas.

Rao-Blackwellized e-variables D. de Roos*, B. Chugg*, P. Grünwald, A. Ramdas.

Publications

A variational approach to dimension-free self-normalized concentration B. Chugg, A. Ramdas. TMLR, 2026

Bentkus-type asymptotic e-values D. Martinez-Taboada, B. Chugg, A. Ramdas. Neurips, 2026

E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values B. Chugg, A. Ramdas, P. Grünwald. Synthese, 2026

Nonasymptotic Heavy-Tailed Mean Estimation in Smooth Banach Spaces J. Whitehouse, B. Chugg, D. Martinez-Taboada, A. Ramdas. Stoch. Proc. & Apps., 2026

On admissibility in post-hoc hypothesis testing B. Chugg, T. Lardy, A. Ramdas, P. Grünwald. Jour. Approx. Reas., 2026

Time-uniform confidence spheres for means of random vectors B. Chugg, H. Wang, A. Ramdas. TMLR, 2025

A unified recipe for deriving (time-uniform) PAC-Bayes bounds B. Chugg, H. Wang, A. Ramdas. JMLR, 2023

Auditing fairness by betting B. Chugg, S. Cortes-Gomez, B. Wilder, A. Ramdas. Neurips, 2023 (Spotlight)

Entropy Regularization for Population Estimation B. Chugg, P. Henderson, J. Goldin, D.E. Ho. AAAI, 2023 (Oral)

Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy P. Henderson*, B. Chugg*, B. Anderson, D.E. Ho. ACM CS & Law, 2022

Simultaneous visibility representations of undirected pairs of graphs B. Chugg, W. Evans, K. Wong. Jour. Comp. Geom., 2021

Composable Computation in Leaderless, Discrete Chemical Reaction Networks H. Hashemi, B. Chugg, A. Condon. DNA, 2020

Output-Oblivious Chemical Reaction Networks B. Chugg, A. Condon, H. Hashemi. Princ. Dist. Systems., 2018

Theses

The Graph-Simplex Correspondence and its Algorithmic Foundations M.Sc. Thesis, Oxford University