• Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression, with L. Clarté, G. Dalle, B. Loureiro, F. Krzakala, L. Zdeborová (2024)

• Lower Bounds on the Bayesian Risk via Information Measures, with A. R. Esposito and M. Gastpar (2023)

• The Houdayer Algorithm: Overview, Extensions, and Applications, with E. I. Rodríguez Chiacchio and E. Munro (2022)

• On Sibson’s alpha-Mutual Information, with A. R. Esposito and M. Gastpar (IEEE ISIT, 2022)

• Lower Bounds on the Bayesian Risk in Estimation Procedures via f-Divergences, with A. R. Esposito and M. Gastpar (IEEE ISIT, 2022)

• A Dive Into Cluster Monte-Carlo Algorithms: A Quantum inspired Approach (Master’s Thesis, 2021)

• Reinforcement Learning and Games (Master’s Semester Project II, 2020)

• On Quantum Algorithms for Solving Linear Systems of Equations (Master’s Semester Project I, 2019)