@oxcsml

Computational Statistics, Statistical Methodology, and Machine Learning Research Group. Based at @OxfordStats.

 Oxford, England
csml.stats.ox.ac.uk/
Joined November 2018
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The OxCSML group @OxfordStats is participating at @NeurIPSConf this week, with 25 papers in the main program, 3 workshop papers and 1 paper in dataset track! Do stop by our posters and presentations! Check out csml.stats.ox.ac.uk/news/202… or the following :thread:for further details
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Bayes for continual learning: it just works, right? Turns out the details matter for *approx* Bayes in deep nets. Variational inference over predictive functions works pretty well! #ICML2022 paper with @timrudner @qixuan_feng @yeewhye @yaringal proceedings.mlr.press/v162/r… 1/6

Continual Learning via Sequential Function-Space Variational Inference

Sequential Bayesian inference over predictive functions is a natural framework for continual learning from streams of data. However, applying it to neural ne...

proceedings.mlr.press
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In our #ICML paper, we show that *Sequential Function-Space Variational Inference* allows for effective Bayesian updating in NNs and enables state-of-the-art continual learning!🚀 ✍️Paper: timrudner.com/sfsvi 💻Code+Notebooks: timrudner.com/sfsvi-code Details in 🧵! [1/N]
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Congratulations @desirivanova . Well done!
Isaac Newton Institute@NewtonInstitute7 Mar 2022
Congratulations to @desirivanova 🥉 (@OxUniMaths), Matthew Tointon 🥇 (@BristolUniMaths) and Teresa Bautista 🥈 (@KingsCollegeLon) on their @STEM4Brit awards this afternoon! 👏🎉🧮 #mathematics #stem @UKParliament
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Applications due this Friday. Please retweet everyone, and please apply if you are a UK undergrad from under-represented backgrounds interested in what research in artificial intelligence and machine learning is like! 🙏
Yee Whye Teh@yeewhye7 Feb 2022
Oxford's Uniq+ graduate access program has an AI/ML strand! UK undergrads from under-represented backgrounds interested in AI/ML pls apply. Scholarship, free lodging, 6 or 10 weeks summer research project w/ faculty @CompSciOxford @OxfordStats @OxfordEng. stats.ox.ac.uk/archive-news/…
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If you're an undergraduate looking for a summer research project in AI or ML - check this out! Up to £4,200 stipend for 10-week project, free accommodation, great projects. Apply by 18 Feb. stats.ox.ac.uk/archive-news/…
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Oxford's Uniq+ graduate access program has an AI/ML strand! UK undergrads from under-represented backgrounds interested in AI/ML pls apply. Scholarship, free lodging, 6 or 10 weeks summer research project w/ faculty @CompSciOxford @OxfordStats @OxfordEng. stats.ox.ac.uk/archive-news/…
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Excited to share our paper in @Nature today! We find that two large surveys significantly overestimated COVID vaccine uptake among US adults relative to a benchmark from the CDC. Work with @shirokuriwaki @MichaelIsakov3 @sejDino @XiaoLiMeng1 @flaxter rdcu.be/cCQ4E 🧵1/
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Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging Francisca Vasconcelos, @bobby_he, @yeewhye Oral at MedNeurIPS: neurips.cc/virtual/2021/work… Poster at Bayesian Deep Learning Workshop: neurips.cc/virtual/2021/work… Paper: cse.cuhk.edu.hk/~qdou/public…
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Paper info: This preliminary work presents the first large-scale study of implicit neural representations with uncertainty quantification. Well-calibrated, accurate image reconstruction algorithms can improve doctor diagnoses and reduce patient radiation exposure.
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