Tweets about Bayesian statistics, Monte Carlo, etc from a Reader in Statistics at the University of Warwick. Personal account.
Joined November 2010
- Tweets 3,849
- Following 3,081
- Followers 2,706
- Likes 747
46 Photos and videos
25 Nov 2024
At the University of Birmingham today, speaking to CENTA PhD students about "Understanding Machine Learning and Artificial Intelligence". centa.ac.uk/
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Richard Everitt retweeted
19 Nov 2024
📢 Post-Bayesian online seminar series coming!📢
To stay posted, sign up at
tinyurl.com/postBayes
We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem.
(e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...)
Pls circulate widely!
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Richard Everitt retweeted
23 Oct 2024
The first talk of Season 6 is next week! On 31st October, 11am GMT, Ullrich Köthe (University of Heidelberg) will talk about "Free-form flows for physics-informed generative modelling". The talk will be on MS teams. Sign up to the list to get the link: listserv.csv.warwick.ac.uk/m…
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Richard Everitt retweeted
23 Oct 2024
This is the new account for the One World Approximate Bayesian Inference (ABI) Seminar. Please follow if you are interested in any flavour of approximate Bayesian inference, including simulation-based inference. Website: warwick.ac.uk/fac/sci/statis…
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23 Oct 2024
The One World Approximate Bayesian Inference (ABI) Seminar is on X. x.com/approxbayes
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18 Oct 2024
Three of my PhD students have their viva in the next 18 days. "Go well" to all of them. I'll try to post a few things about their work in the next few weeks.
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Richard Everitt retweeted
28 Sep 2024
Do you think you know Maximum Likelihood? Think again
It seems like such a natural idea, but there’s an epic and turbulent history with numerous assaults on the core idea, culminating in a beautiful and complicated theory.
A highly entertaining account:
arxiv.org/abs/0804.2996
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Richard Everitt retweeted
27 Sep 2024
Congratulations to David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta (all Warwick Statistics), whose paper "Quasi-Bayes meets Vines" (arxiv.org/abs/2406.12764) has been accepted for #NeurIPS ! In the paper they model high-dimensional densities with the Quasi-Bayesian Vine.
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Richard Everitt retweeted
27 Sep 2024
#NeurIPS decisions are out! Congratulations to Jen Ning Lim (Warwick Statistics PhD Student) who has
had a paper on Semi-implicit Variational Inference (preprint:
arxiv.org/abs/2407.00649) accepted for a spotlight
presentation at NeurIPS 2024.
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Richard Everitt retweeted
23 Sep 2024
Two new chapters from my free online book in human genetics out this weekend!
These complete Part 3 of the book, on human population structure and history:
3.3: Inferring human prehistory from genetic data [this thread]
3.4: Ancient DNA [next thread]
web.stanford.edu/group/pritc…
1 Oct 2023
I'm delighted to release the first half of my new open-access online textbook in human population genetics:
web.stanford.edu/group/pritc…
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Richard Everitt retweeted
1 Oct 2023
I'm delighted to release the first half of my new open-access online textbook in human population genetics:
web.stanford.edu/group/pritc…
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Richard Everitt retweeted
12 Sep 2024
This is absolute art.
The field, the fading light, the celebrations…
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Richard Everitt retweeted
12 Sep 2024
ERC Starting Grant for Tom Berrett
Tom Berrett has been announced as a recipient of an ERC Starting Grant worth €1.5 million.
Information on Tom's research can be found on his website here: thomasberrett.github.io
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Richard Everitt retweeted
10 Sep 2024
Newborn (extended abstract) paper in Bayesian Experimental Design (BED). This specific iteration takes the same approach as in arxiv.org/abs/2402.07868: formulate sequential planning as an amortized inference procedure, but differs on its computational treatment. 1/7
10 Sep 2024
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design ift.tt/Z0VLw8q
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10 Sep 2024
I made a new website: richardgeveritt.github.io/ It is mainly a Rosetta Stone type site, listing different online profiles (plus some software projects). Hopefully will be useful as social media continues to fragment...
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Richard Everitt retweeted
9 Sep 2024
Last week to apply for machine learning postdoc positions in my team in Manchester or Helsinki
15 Aug 2024
Machine learning postdoc positions in my team in Helsinki, Finland, and Manchester, UK; DL September 15, 2024
Aalto University, Helsinki: aalto.fi/en/open-positions/p…
University of Manchester, UK: jobs.manchester.ac.uk/Job/Jo…
Some more info about the team:Â kaski-lab.com
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Richard Everitt retweeted
28 Aug 2024
It took me SEVEN years to figure out that you can save a ggplot as a vectorized .svg file ggsave("file.svg"). The svg file can be opened on powerpoint and it will be completely vectorized, even text are still recognized as text boxes! No more recreating plots on illustrator!!!!!
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Richard Everitt retweeted
28 Aug 2024
Announcing: AI in Industry and Academia Conversations
ailab.criteo.com/ai-in-indus…
Conversations with interesting people about machine learning and AI in industry and academia. Starting 19 September.
Featuring: @DrMaggiori, Nicolas Chopin, @dawen_liang , @flavianv , David Rohde,..
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Richard Everitt retweeted
28 Aug 2024
Adaptive MCMC can be very useful in practice, but theoretical results are technical. We attempted to write a more accessible story about adaptive MCMC theory: arxiv.org/abs/2408.14903. It starts from the beautiful martingale decomposition of Andrieu & Moulines (2006):
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