Scholar
Anthony Bardou
Google Scholar ID: yVYolcEAAAAJ
Postdoctoral Researcher, EPFL
Citations & Impact
Citations
89
H-index
5
i10-index
4
Publications
15
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Awarded the GDR RSD/ASF Best Ph.D. Thesis Award in 2024; successfully defended his thesis titled “Online Learning for the Black-Box Optimization of Wireless Networks” in 2023; published several papers including 'This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization' at NeurIPS 2024 and 'Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization' at ICLR 2024.
Research Experience
- Currently a Postdoctoral Researcher at EPFL, within the INDY lab, working in collaboration with Prof. Patrick Thiran. Formerly, a Ph.D. student at ENS Lyon, within the HoWNet team.
Education
- Ph.D. from École Normale Supérieure (ENS) Lyon, supervised by Prof. Thomas Begin, researching online high-dimensional black-box optimization techniques with extensive applications to next-generation wireless networks (e.g., Wi-Fi, 5G).
Background
- Research interests include black-box optimization (especially Bayesian optimization), online learning, performance evaluation, and wireless networks. Current research focuses on Bayesian optimization, from its theoretical guarantees to its application in various contexts (e.g., dynamic, high-dimensional, distributed) and domains (e.g., wireless networks, community detection).
