Hi yall!
I am a Phd student at Inria Grenoble-Alpes and Criteo AI Lab.
I work under the supervision of:

• Julyan Arbel from Inria Statify,
• Pierre Gaillard from Inria Thoth,
• Thibaud Rahier from Criteo AI Lab.

I am doing Theoretical Machine Learning, Optimization, Probability, Statistics.
My current research is focused on Online Learning, Bandits Theory and recently, some aspects of Game Theory. I like theoretical guarantees (but also do some numerical experiments from time to time).

I am always happy to learn new things and I am interested in everything.
Google Scholar here!
CV Here!
Reach out to me!

---

Preprints and Papers

• Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits: HAL, arxiv

---

Teaching

• 2023-2024, Teaching assistant: Mathematical Foundations of Machine Learning (Online learning and RL part), Université Grenoble-Alpes

---

Events

• International Conference on Machine Learning (ICML2024), 21/07/2024-27/07/2024
• Journées de Statistique de la SFdS, 27/05/2024-31/05/2024
• Reinforcement Learning Summer School, 26/06/2023-05/07/2023

---

Miscellaneous

I’m actually not certain of how to spell and pronounce “Miscellaneous”.
I like food, food, and sleep.
I fear the dark, existential dread, and discovering a fatal flaw in one of my (still hypothetical) published papers.

---

Contact

Always interested in potential opportunities, new subjects, discussions, memes…
Don’t hesitate to send a mail: julien.zhou@inria.fr