@oxcsml

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

 Oxford, England
csml.stats.ox.ac.uk/
Joined November 2018
  • Tweets318
  • Following165
  • Followers3.3K
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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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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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Wonder what’s next after LinearSHAP, TreeSHAP and DeepSHAP? Check out our latest work on RKHS-SHAP, an attribution method for kernel methods that efficiently compute both Interventional and Observational Shapley values! arxiv.org/abs/2110.09167 @javiergonzh @sejDino (1/n)
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📢Three exciting jobs! Florence Nightingale Bicentennial Fellow in Statistics, Probability or a related subject (x2) and Glasstone Research Fellowship in Science, both for researchers at an early stage of their career. More details: stats.ox.ac.uk/vacancies/
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Absolute pleasure to introduce our final speaker at the #DifferentiableProgramming workshop @NeurIPSConf 2021: Yuan Zhou (@yuaanzhou)! Yuan will speak about symbolic parallel adaptive importance sampling for #ProbabilisticProgramming analysis! 🎲
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Happy to announce that our paper "BayesIMP: Uncertainty Quantification for Causal Data Fusion" has been accepted to #Neurips2021 !!! Big thanks to my co-authors @Chau9991 @javiergonzh @yeewhye @sejDino
Jean-François Ton@jeanfrancois2878 Jun 2021
Interested in Kernel Methods, Causal Inference and Uncertainty quantification? In our newest work we introduce BayesIMP: Uncertainty Quantification for Causal Data Fusion ! arxiv.org/abs/2106.03477 Big thanks to @Chau9991 @javiergonzh @yeewhye @sejDino 1/n
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📢 JOB KLAXON! PDRA in Computational Statistics and Statistical Machine Learning, developing new theory and methodology within Statistical Science and Scalable Computational Statistics. Grade 7: £32,817 - £40,322 p.a. Apply by midday on 22 Sep. Full info: my.corehr.com/pls/uoxrecruit…
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Stats underpins much of Natural, Medical and Social Science. Its graduate students are critical to that work. Our Jane Street Graduate Scholarships will help us attract & develop the best students. @CompSciOxford @OxUniMaths Find out more: stats.ox.ac.uk/study-here/ta…
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📢JOB KLAXON! Postdoctoral Research Assistant in Statistical Epidemiology. Grade 7: £33,309 - £40,927 p.a. Apply by noon on 15 October. my.corehr.com/pls/uoxrecruit…
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I'm very grateful to @Qualcomm for supporting my research and to my advisors @yaringal, @yeewhye, and @svlevine for their invaluable guidance and support! Thank you! :-) Congratulations to the other winners: @JamesAllingham, @davidwromero, and @_sgupta_! qualcomm.com/news/releases/2…

Qualcomm Innovation Fellowship Europe rewards excellent young

Qualcomm Technologies, Inc., announced today the winners of the 12th edition of Qualcomm Innovation Fellowship (QIF) Europe program: Tim Georg Johann Rudner (University of Oxford), James Allingham...

qualcomm.com
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Wonderful surprise: my work done at @OxfordStats on Posterior Bootstrap received the #isba2021 Best Student/Postdoc Contributed Paper Award. Thank you @ISBA_events and everyone who was supporting me with this project! #WomenInSTEM
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📢 Interested in continual learning, VI, or Bayesian NNs? Join us at the #ICML SubSetML poster session for our paper *Continual Learning via Function-Space Variational Inference* 📅Sat, Jul 24, 9-10pm BST 🎙️Talk: eventhosts.gather.town/nI2bw… 📄Paper: timrudner.com/cfsvi 1/N🧵
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Our 📢 new paper📢 on active learning of treatment effects from observational data is at The Neglected Assumptions of Causal Inference workshop Join the poster session today at 12pm EST! With @ptigas @joost_v_amersf @BlackHC @ShalitUri @yaringal 📄 drive.google.com/file/d/1ABt…
Niki Kilbertus@k__niki19 Apr 2021
Excited about our @icmlconf workshop on the *Neglected Assumptions in Causal Inference* (sites.google.com/view/naci20…) with my amazing co-organizers @LauraBBalzer @alexdamour @uhlily @raziehnabi @ShalitUri We warmly welcome contributions from outside CS as well (see CFP) @ICML2021

CausalAssumptions, ICML2021

Overview

sites.google.com
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Come chat to us now @ D5, RL4RL workshop: eventhosts.gather.town/FRMWW… about our new work revisiting uncertainty quantification in offline MBRL and showcasing new SOTA results on D4RL MuJoCo 😻 Paper: drive.google.com/file/d/1qQD… @philipjohnball @jparkerholder @maosbot, Stephen Roberts
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I'm so grateful to @Qualcomm for supporting my research and to my advisors for their guidance and for supporting my endeavors! Thank you!
Yarin@yaringal17 Jul 2021
Congratulations to @OATML_Oxford graduate students @filangelos and @timrudner for receiving a 2021 J.P. Morgan PhD Fellowship and a 2021 Qualcomm Innovation Fellowship! jpmorgan.com/technology/arti… qualcomm.com/research/resear…
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Very excited to give a talk “On the use of density models for anomaly detection” at INNF+ @ #ICML21 tomorrow 🤩 Based on many discussions and work with the *amazing* @laurent_dinh 🎊Come share your opinion!🎊 🎬Talk bit.ly/3xZOj11 🌅Slides bit.ly/2V4UKkM
Chin-Wei Huang@chinwei_h22 Jul 2021
[INNF+] Counting down to your favorite @icmlconf workshop of the year! Please visit our workshop page for more information about how we'll proceed tomorrow. invertibleworkshop.github.io… with @vdbergrianne @DaniloJRezende @DavidSKrueger @gpapamak @RickyTQChen 1/4
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