I am a PhD student in Statistical/Machine Learning in the Statistics department of the LPSM (Sorbonne University, Paris) and in THOTH team (INRIA, Grenoble). My research activity is supervised by Pierre Gaillard & Olivier Wintenberger.
My main work focuses on sequential algorithms & online learning theory.
In addition to research, I am dedicated to teaching sessions in mathematics and computer science. If you are interested you can go to the teaching page.
Interests
- Artificial Intelligence
- Deep & Machine Learning
- Online Learning
- Stochastic Algorithms
Education
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MSc in Computer Science & Mathematics, 2022
Sorbonne University
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MSc in Mathematics & Applications, 2021
Sorbonne University
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BSc in Mathematics, 2020
Sorbonne & Aix-Marseille University
Experience
PhD student
Topic: Online Boosting.
Teaching & Examination
Mathematics and Python programing (MPSI, PSI, ECG).
Resarch Internship (Master Thesis)
Topic: Online (Gradient) Boosting.
Resarch Internship
Topic: Phase transition for the compressed sensing problem with Gaussian matrices and possibly with more structured random matrices.
Projects
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Contact
- paul.liautaud@sorbonne-universite.fr
- 4 Place Jussieu, Paris, 75005
- Tower 16-26, 2nd floor, Office 15-16-204
- For office hours, contact me directly or pass by my office
- Book an appointment