Stable ResNet. - Soufiane Hayou; Eugenio Clerico; Bobby He; George Deligiannidis; Arnaud Doucet; Judith Rousseau (AISTATS, 2021)

Conditional Gaussian PAC-Bayes. - Eugenio Clerico; George Deligiannidis; Arnaud Doucet (CoRR, 2021)

Conditionally Gaussian PAC-Bayes. - Eugenio Clerico; George Deligiannidis; Arnaud Doucet (AISTATS, 2022)

Chained generalisation bounds. - Eugenio Clerico; Amitis Shidani; George Deligiannidis; Arnaud Doucet (COLT, 2022)

A PAC-Bayes bound for deterministic classifiers. - Eugenio Clerico; George Deligiannidis; Benjamin Guedj; Arnaud Doucet (CoRR, 2022)

Wide stochastic networks: Gaussian limit and PAC-Bayesian training. - Eugenio Clerico; George Deligiannidis; Arnaud Doucet (ALT, 2023)

A note on regularised NTK dynamics with an application to PAC-Bayesian training. - Eugenio Clerico; Benjamin Guedj (Trans. Mach. Learn. Res., 2024)

Online-to-PAC generalization bounds under graph-mixing dependencies. - Baptiste Abélès; Gergely Neu; Eugenio Clerico (AISTATS, 2025)

Generalization bounds for mixing processes via delayed online-to-PAC conversions. - Baptiste Abélès; Eugenio Clerico; Gergely Neu (ALT, 2025)

Generalisation under gradient descent via deterministic PAC-Bayes. - Eugenio Clerico; Tyler Farghly; George Deligiannidis; Benjamin Guedj; Arnaud Doucet (ALT, 2025)

On the optimality of coin-betting for mean estimation. - Eugenio Clerico (Int. J. Approx. Reason., 2025)

How good is PAC-Bayes at explaining generalisation? - Antoine Picard-Weibel; Eugenio Clerico; Roman Moscoviz; Benjamin Guedj (CoRR, 2025)

Confidence Sequences for Generalized Linear Models via Regret Analysis. - Eugenio Clerico; Hamish Flynn; Wojciech Kotlowski; Gergely Neu (CoRR, 2025)

Linear Bandits with Non-i.i.d. Noise. - Baptiste Abélès; Eugenio Clerico; Hamish Flynn; Gergely Neu (CoRR, 2025)