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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Talk at the CogX 2020
Published:
I gave a talk at the CogX 2020, ‘Foundational AI: a mathematician’s take’. Slides and video.
New tool: deadlines countdowns for major AI/ML conferences
Published:
New useful tool: deadlines countdowns for major AI/ML conferences, forked from ai-deadlines.
New website!
Published:
New version of my website, powered by academicpages.
portfolio
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Quasi-Bayesian learning
Published:
Link to the workshop.
Foundational AI: a mathematician’s take
Published:
I gave a talk at CogX 2020 as part of the workshops organised by the UCL Centre for Artificial Intelligence. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by A walkthrough of advanced PAC-Bayes results
Published:
I gave a talk at our Foundational AI CDT Seminar Series. You can access the slides and video recording.
15 Minutes Meets with Benjamin Guedj
Published:
I was interviewed by Mark Richardson (Centre for AI, UCL) as part of the 15 Minutes Meets interview series. Lockdown, forthcoming ICML and COLT, future of AI: check out the video!
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the RIKEN AIP seminar series. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the Modal seminar series. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the Warwick Computer Science Colloquium. You can access the slides and the video.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the 2020 International Forum on Statistics and Data Science, organised by the Center China Normal University. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at UCL Statistical Science Seminar. You can access the slides and the video.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the OxCSML Seminar. You can access the slides and the video (see the entire series here).
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the Chalmers Machine Learning Seminar. You can access the slides.
Covid-19 and AI: unexpected challenges and lessons
Published:
I served as chair (and co-organiser) for a webinar organised by the French Embassy to the United Kingdom, in partnership with The Inria London Programme and the Franco-British Data Society. Speakers were Dr. Emilie Chouzenoux, Pr. Mihaela van der Schaar, Dr. Hugues Berry, Pr. Geraint Rees, Dominic Cushnan and myself.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the LPSM Seminar – certainly the one talk (out of many I gave since the pandemic) I wish I could have delivered in person, as this is the lab where I did my MSc and PhD (a while ago)! You can access the slides.
On generalisation and learning: Generalisation bounds for deep neural networks
Published:
I gave a talk at the 52èmes Journées de Statistique, the annual flagship conference of the French Statistical Society (SFdS), as part of the topical session by the MALIA group of which I am a founder and former president. You can access the slides.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the London Mathematical Society Computer Science Colloquium. You can access the slides slides.
The Inria London Programme: an ambitious scientific joint venture between France and the UK
Published:
I gave a presentation on the Inria London Programme as part of the visit of the Delegation of the European Union to the UK, Embassy of Slovenia and IRCAI at the UCL Centre for Artificial Intelligence. You can access the programme here.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the 2nde journée MAS-MODE de la SMAI. First in-person talk in over 30 months! You can access the slides.
Quelles mathématiques derrière l’informatique ?
Published:
I was a panel member at the Journées Scientifiques Inria, on “Quelles mathématiques derrière l’informatique ?” video (in French).
On generalisation and learning: towards principled frugal AI
Published:
I gave a talk at the IXXI seminar. You can access the slides.
The existential risks of AI
Published:
I was a speaker and panel member at a discussion on “The existential risks of AI” organised by Natixis CIB and the Franco-British Data Society. Video
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.