PhD in Machine Learning & Statistics at Oxford

Joined September 2018
1 Photos and videos
Veit D. Wild retweeted
31 Oct 2024
Had a fantastic visit to @fx_briol's lab and the Gatsby group to present my latest work on credal hypothesis testing for comparing epistemic uncertainties with credal sets! (ift.tt/XxrOPCy) Looking forward to more inspiring discussions and collaborations ahead!
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Veit D. Wild retweeted
The New York times article on the demise of Albert Einstein, 19 April 1955. ✍️
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Veit D. Wild retweeted
Huge congratulations to Dr Veit Wild @vdwild for successfully defending his DPhil viva @OxfordStats! Veit's work has resulted in a number of important new insights on Bayesian deep learning and Gaussian processes, and I was very fortunate to work and learn together with him.
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Veit D. Wild retweeted
Karl Popper (1902-1994) on what it means to be a rationalist ✍️ When I speak of reason or rationalism, all I mean is the conviction that we can learn through criticism of our mistakes and errors, especially through criticism by others, and eventually also through self-criticism. A rationalist is simply someone for whom it is more important to learn than to be proved right; someone who is willing to learn from others — not by simply taking over another's opinions, but by gladly allowing others to criticize his ideas and by gladly criticizing the ideas of others. The emphasis here is on the idea of criticism or, to be more precise, critical discussion. The genuine rationalist does not think that he or anyone else is in possession of the truth; nor does he think that mere criticism as such helps us achieve new ideas. But he does think that, in the sphere of ideas, only critical discussion can help us sort the wheat from the chaff. He is well aware that acceptance or rejection of an idea is never a purely rational matter; but he thinks that only critical discussion can give us the maturity to see an idea from more and more sides and to make a correct judgement of it. -- as mentioned in All Life is Problem Solving (1999)
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Veit D. Wild retweeted
To all "it's merit based" responders: if you reward skills before they are introduced in the public school system, the vast majority of rewardees will come from extremely privileged backgrounds that support and incentivize them to acquire those skills privately.
NeurIPS introduces a track dedicated to advancing kids of rich parents even more than they already are
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Veit D. Wild retweeted
A thread of 21st century architectural revivals that will restore your faith in humanity: 🧵 1. Frauenkirche, Dresden, Germany
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Veit D. Wild retweeted
People seem to be falling for two rather thoughtless extremes: 1. "LLMs are AGI, they work like the human brain, they can reason, etc." 2. "LLMs are dumb and useless." Reality is that LLMs are not AGI -- they're a big curve fit to a very large dataset. They work via memorization and interpolation. But that interpolative curve can be tremendously useful, if you want to automate a known task that's a match for its training data distribution. Memorization works, as long as you don't need to adapt to novelty. You don't *need* intelligence to achieve usefulness across a set of known, fixed scenarios. In fact, that's the entire story of the field of AI so far: achieve increasing levels of usefulness and automation, while bypassing the problem of creating intelligence.
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Veit D. Wild retweeted
📰Linear Convergence Bounds for Diffusion Models via Stochastic Localization arxiv.org/abs/2308.03686 We derive the first bounds which are linear in the data dimension without smoothness assumptions on the data distribution. w/ @ValentinDeBort1 @ArnaudDoucet1 @GeorgeDeligian9
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Veit D. Wild retweeted
"Around the same time, the ML community rebelled against commercial journal publishers and created JMLR, which was one of the first open-access and totally free journal." The awesome announcement of the creation of JMLR: jmlr.org/statement.html
2 Jan 2024
Let me tell a story about free books. In the mid 1990s, I started a project called DjVu at AT&T Labs. The purpose was to devise a new image compression format so that printed documents could be scanned at high resolution and distributed efficiently over the newly expanding Internet. The format was released in the late 90s/early 00s and adopted by websites li,e the Internet Archive. As a useful demonstration of the technology, I decided to scan and distribute the complete collection of proceedings of the Neural Information Processing conference (NIPS). I asked the publishers, Morgan Kaufman and MIT Press, for permission to do that. They agreed because they weren't making any revenue from past proceedings. We scanned the 13 volumes, OCRed and indexed all of the material, and put it up on a free website in 2000: nips.djvu.org/ This open-access repository turned out to be *extremely* useful to the machine learning research community. Around the same time, the ML community rebelled against commercial journal publishers and created JMLR, which was one of the first open-access and totally free journal. This also turned out to be enormously beneficial. Eventually, the NIPS conference stopped making printed proceedings and started hosting all the books on their website ( nips.cc ), including our scans. If you ever wondered why the ML/AI community embraced a culture of fast posting of preprint and open-access publications, that's it.
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Veit D. Wild retweeted
Reunited at #NeurIPS2023 w/ @vdwild
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14 Dec 2023
Come to my Neurips talk today! I'll talk about generalised variational inference and the Wasserstein gradient flow. @sejDino @SGhalebikesabi @LauchLab I'll also bei at the poster session today at 10.45 at stand 1301.
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Veit D. Wild retweeted
I'll be at @NeurIPSConf #NeurIPS2023 next week, first time in person since 2016 (!?) Excited to see old friends and meet new ones and tell you all about my move down under 🇦🇺 and why you should do it too. Check out the papers with my amazing collaborators and students...🧵 1/4
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Veit D. Wild retweeted
21 Aug 2023
A new postdoc position is now available in Adelaide 🇦🇺 with Professor Dino Sejdinovic @sejdino! Dino supervised me during my PhD and he is amazing. Do apply if in addition you value research freedom, work-life balance, and breath-taking beaches!🏖️ careers.adelaide.edu.au/cw/e…

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Veit D. Wild retweeted
Come join us in Adelaide where exciting research in ML can be enjoyed together with a fantastic quality of life! (1) Future Making Fellowship (deadline: 5 June) careers.adelaide.edu.au/cw/e… (2) A postdoc position with @TheAIML (deadline: 18 June) careers.adelaide.edu.au/cw/e…

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Veit D. Wild retweeted
Viva Voce exam passed. I am deeply grateful to my examiners, @MarkHaselgrove and @LHuntNeuro, and my supervisors, @RobinofOxford and @michaelbrowni19. It has been a real honour. Gracias.
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Veit D. Wild retweeted
29 Nov 2022
Me and @vdwild will be presenting GWI-net tmrw at poster session 1 #509 at #NeurIPS2022! We bridge VI in infinite-dimensional spaces with BDL, where GWI-net allows us to equip deep nets with uncertainty quantification analogous to that of GPs neurips.cc/virtual/2022/post…
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Veit D. Wild retweeted
Very strong opening to a math video. Ok, you have my attention.
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Veit D. Wild retweeted
After 8 years as Oxford faculty, working in the amazing @oxcsml group, I am delighted to announce that I will be joining @UniofAdelaide as a Professor in the School of Mathematical Sciences. My young family and I are very excited about a fresh start in beautiful Adelaide!
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