Publications

2025

Linear bandits with non-iid noise

(with B. Abélès, H. Flynn, and G. Neu)

preprint — under review • arXiv
Confidence sequences for generalized linear models via regret analysis

(with H. Flynn, W. Kotłowski, and G. Neu)

preprint — under review • arXiv
How good is PAC-Bayes at explaining generalisation?

(with A. Picard-Weibel, R. Moscoviz, and B. Guedj)

preprint — under review • arXiv
Uniform mean estimation for monotonic processes

(with H. Flynn and P. Rebeschini)

preprint — under review • arXiv
Generalisation under gradient descent via deterministic PAC-Bayes

(with T. Farghly, G. Deligiannidis, B. Guedj, and A. Doucet)

ALT 2025 • PLMR arXiv

Optimal e-value testing for properly constrained hypotheses

preprint — under review • arXiv
On the optimality of coin-betting for mean estimation

International Journal of Approximate Reasoning — to appear • arXiv
Online-to-PAC generalization bounds under graph-mixing dependencies

(with B. Abélès and G. Neu)

AISTATS 2025 • PMLR arXiv
Generalization bounds for mixing processes via delayed online-to-PAC conversions

(with B. Abélès and G. Neu)

ALT 2025 • PMLR arXiv
A note on regularised NTK dynamics with an application to PAC-Bayesian training

(with B. Guedj)

TMLR — published • OpenReview arXiv

Wide stochastic networks: Gaussian limit and PAC-Bayesian training

(with G. Deligiannidis and A. Doucet)

ALT 2023 • PMLR arXiv

Chained generalisation bounds

(with A. Shidani, G. Deligiannidis, and A. Doucet)

COLT 2022 • PMLR arXiv
Conditionally Gaussian PAC-Bayes

(with G. Deligiannidis and A. Doucet)

AISTATS 2022 • PMLR arXiv

Stable ResNet

(with S. Hayou, B. He, G. Deligiannidis, A. Doucet, and J. Rousseau)

AISTATS 2021 • PMLR arXiv