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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.
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.
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.