Paper Title Number 1
Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Paper Title Number 2
Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Paper Title Number 3
Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Talks
Quasi-Bayesian learning
Spotlight talk at Criteo - Machine Learning in the real world, Paris, France
A Primer on PAC-Bayesian Learning
Tutorial at ICML 2019, Long Beach CA, USA
Foundational AI: a mathematician’s take
Workshop at CogX 2020, London, UK
A (condensed) primer on PAC-Bayesian Learning followed by A walkthrough of advanced PAC-Bayes results
Seminar at Foundational AI CDT Seminar Series, London, UK
15 Minutes Meets with Benjamin Guedj
Interview at Centre for Artificial Intelligence, London, UK
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at RIKEN AIP seminar, Tokyo, Japan
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at Modal seminar, Lille, France
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at Warwick CS Colloquium, Warwick, UK
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at 2020 International Forum on Statistics and Data Science, Center China Normal University, China
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at UCL Statistical Science Seminar, London, UK
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at OxCSML Seminar, Oxford, UK
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at Chalmers Machine Learning Seminar, Göteborg, Sweden
Covid-19 and AI: unexpected challenges and lessons
Seminar at Amba-series from the French Embassy to the United Kingdom, London, United Kingdom
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Seminar at LPSM Seminar, Paris, France
On generalisation and learning: Generalisation bounds for deep neural networks
Seminar at 52èmes Journées de Statistique, Nice, France
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Colloquium at London Mathematical Society Computer Science Colloquium, London, United Kingdom
The Inria London Programme: an ambitious scientific joint venture between France and the UK
Colloquium at UCL Centre for Artificial Intelligence, London, United Kingdom
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Workshop at 2nd journée MAS-MODE de la SMAI, Paris, France
Quelles mathématiques derrière l’informatique ?
Workshop at Journées Scientifiques Inria, Rocquencourt, France
On generalisation and learning: towards principled frugal AI
Workshop at Institut Rhônalpin des Systèmes Complexes -- IXXI, Lyon, France
The existential risks of AI
Panel at Natixis and FBDS, Online
Teaching
Service and leadership
- Currently signed in to 43 different slack teams