StatML CDT @StatMLIO
EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford statml.io United Kingdom Joined December 2018-
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🚨News alert! StatML is good to go for another 5 years! The team is beyond thrilled to be welcoming new cohorts of fully-funded EPSRC studentship starting 24/25!🙌 @EPSRC @imperialcollege @UniofOxford #CDT #PhD #Stats #machinelearning
Greetings from the StatML Summer School 2023. What a tremendous group.
Special thanks to our students from Cohort 22 who took part in the Oxford Maths Festival in May as part of their public engagement training.
🚨 New journal article soon 🚨 “Combining Multi-fidelity Modelling and Asynchronous Batch BO” will appear in Computers and Chemical Engineering! Check out my attempt at making a TikTok and summarising the paper in 1 minute 👇👇👇
What does the limiting distribution of a U-statistic look like in high-dimensional settings where the dim is allowed to grow with the sample size? Check out our recent preprint with @KevinHanHuang1 Andrew Duncan and @axel_gandy !
What does the limiting distribution of a U-statistic look like in high-dimensional settings where the dim is allowed to grow with the sample size? Check out our recent preprint with @KevinHanHuang1 Andrew Duncan and @axel_gandy !
🎉 Awarded an Outstanding Paper award 🎉 at Neurips 2022, updated from the ArXiv version, announcing "Riemannian Score-Based Generative Models" arxiv.org/pdf/2202.02763… Joint work with @ValentinDeBort1 @MathieuEmile @JamesTThorn @yeewhye @ArnaudDoucet1 in @oxcsml @OxfordStats
In this work we extend the score based generative modelling framework from Euclidean space to arbitrary manifolds, and provide convergence bounds for compact manifolds. ‼️ Note that the generic manifold constructions are new since the last ArXiv version, please check it out ‼️
Like asynchronous batch Bayesian optimisation? Like multi-fidelity Bayesian optimisation? So do we! Our new preprint by @folch_pablo combines the technologies 📝 arxiv.org/abs/2211.06149 🔋Application🔋 Design electrode materials in pouch cells using experiments w/ coin cells
Our researchers are working with chemical company @BASF on new machine learning techniques that address research and development needs in the chemical industry. The new techniques will be revealed at the prestigious #NeurIPS2022 conference. Read more 👇 ow.ly/UP0Y50Lqvew
SnAKe was accepted @NeurIPSConf! Bayesian Optimization when it is expensive to have large input changes. Check out the YouTube video for a short (7min) summary 👇 Jose Folch: SnAKe Bayesian Optimization with Pathwise Exploration youtu.be/B5X4lcTSlZk via @YouTube
Looking for PhD opportunities in #MachineLearning or related fields? The #ELLISPhD Program is now accepting applications! Apply until November 15, 2022. #JoinELLISforEurope #phdlife #phd #AI ellis.eu/news/ellis-phd…
Fully Funded Studentship for the StatML CDT available. Click on the link for more information statml.io/index.php/news/
This week OliverRatmann & NunoFaria held a methods innovation accelerator workshop on novel approaches for automatizing viral phylogenetic analysis pipelines 👇
Mélodie Monod at the ISBA 2022 World Meeting in Montreal Contributed talk and poster presentation - “Regularised B-splines projected Gaussian Process priors to estimate time-trends in age-specific COVID-19 deaths” (preprint: arxiv.org/abs/2106.12360)
Antoine Meyer at the ISBA 2022 World Meeting in Montreal Poster presentation, “TD-CARMA: A method for cosmological time delay estimation with CARMA process ”
Anna Menacher, Antoine Meyer and Mélodie Monod are attending the ISBA 2022 World Meeting in Montreal and are presenting their work. Anna Menacher: poster presentation, “Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior” (preprint: arxiv.org/abs/2206.09175
ICYMI: Amazon to host StatML Oxford Imperial ML Workshop in Berlin office: amazon.science/latest-news/am… #ComputationalStatistics
I'm starting a @BASF/@RAEngNews Chair in Data-Driven Optimisation! Big thanks to @imperialcollege researchers who initiated collaboration: M Mistry @hipeds led proof-of-concept, @AThebelt develops optimiser ENTMOOT & @folch_pablo @StatMLIO studies Bayesian opt for flow chemistry
I'm starting a @BASF/@RAEngNews Chair in Data-Driven Optimisation! Big thanks to @imperialcollege researchers who initiated collaboration: M Mistry @hipeds led proof-of-concept, @AThebelt develops optimiser ENTMOOT & @folch_pablo @StatMLIO studies Bayesian opt for flow chemistry
Call for Applications Bocconi Summer School 2022 Bocconi Summer School on "Random Structures and Combinatorial Statistics", at Villa del Grumello, July 11-21. Instructors: Luc Devroye and Gabor Lugosi. Applications by April 25, 2022. More info at bocconi2022.lakecomoschool.org
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17K Followers 879 Following The Fields Institute is a centre for mathematical research. Our mission is to provide a supportive and stimulating environment for mathematics innovation.🚨 New journal article soon 🚨 “Combining Multi-fidelity Modelling and Asynchronous Batch BO” will appear in Computers and Chemical Engineering! Check out my attempt at making a TikTok and summarising the paper in 1 minute 👇👇👇
Finally, here’s a link to the paper: arxiv.org/abs/2211.06149 many thanks to my collaborators from @BASF Lee Shafei Walz and @ICComputing @CalvinTsay @markvanderwilk @RuthMisener and support from @ImperialMaths @StatMLIO @CogImperial @EPSRC
Like asynchronous batch Bayesian optimisation? Like multi-fidelity Bayesian optimisation? So do we! Our new preprint by @folch_pablo combines the technologies 📝 arxiv.org/abs/2211.06149 🔋Application🔋 Design electrode materials in pouch cells using experiments w/ coin cells
SnAKe was accepted @NeurIPSConf! Bayesian Optimization when it is expensive to have large input changes. Check out the YouTube video for a short (7min) summary 👇 Jose Folch: SnAKe Bayesian Optimization with Pathwise Exploration youtu.be/B5X4lcTSlZk via @YouTube
NeurIPS is around the corner! The Imperial ML community will be joining, and presenting 17 papers. Check them out at imperial.ac.uk/news/240475/im… My students and I will sharing tweets on our papers in the coming weeks. Looking forward to discuss at the big event!
I'm starting a @BASF/@RAEngNews Chair in Data-Driven Optimisation! Big thanks to @imperialcollege researchers who initiated collaboration: M Mistry @hipeds led proof-of-concept, @AThebelt develops optimiser ENTMOOT & @folch_pablo @StatMLIO studies Bayesian opt for flow chemistry
We're delighted to reveal the latest awardees to our #RAEngResearch Chairs and Senior Research Fellowships scheme. After 35 years and 203 awardees, the scheme has attracted among its strongest ever applications. Get to know them in our thread or visit: raeng.org.uk/news/news-rele…
🍳OMLT🍳 Optimization & Machine Learning Toolkit Open-source code incorporating neural network & gradient-boosted trees, trained using machine learning, into optimization problems 💻github.com/cog-imperial/O… 📝arxiv.org/abs/2202.02414 @ICComputing @ImperialAI @SandiaLabs @CMU_ChemE
🐍SnAKe🐍 Bayesian Optimization w/ Pathwise Exploration arxiv.org/abs/2202.00060 useful if function evaluation 💸 for big input change. Led by @folch_pablo @StatMLIO @ImperialMaths w/ @BASF (Lee Shafei Walz) & @ICComputing (@shiqiang_zhang @CalvinTsay @markvanderwilk @RuthMisener)
Also an easy way to compare alternative optimization formulations, e.g,. our partition-based formulations (neurips.cc/virtual/2021/p…)!
🍳OMLT🍳 Optimization & Machine Learning Toolkit Open-source code incorporating neural network & gradient-boosted trees, trained using machine learning, into optimization problems 💻github.com/cog-imperial/O… 📝arxiv.org/abs/2202.02414 @ICComputing @ImperialAI @SandiaLabs @CMU_ChemE
Thrilled that our paper "Understanding over-squashing and bottlenecks on graphs via curvature" has been accepted for an oral presentation at #ICLR2022! Big thank you to the team @Francesco_dgv @b_p_chamberlain @epomqo @mmbronstein (arxiv.org/abs/2111.14522)
📣 Super happy to have been selected as a finalist at @STEM4Brit Maths category! I’ll be presenting some of my DPhil research @UKParliament in March💥🤩 #stem #maths #ML
Deep Adaptive Design (DAD) enables fast, adaptive experimentation. Learning a design policy net, DAD removes need for costly computations at each step of the experiment and makes decisions in <1sec using a single forward pass. @AdamEFoster @desirivanova Ilyas Malik @tom_rainforth
From my podium, congratulations to @imperialcollege for winning this year’s #UniversityChallenge Grand Final, but @CorpusCambridge has been a formidable team! Despite this treacherous COVID-19 we will get the next series of #UniversityChallenge to you this year. Stay safe 😷
Congratulations Dr Qinyi Zhang @qinyizhang1811! Many thanks to the examiners Marius Kloft and @nicholls_geoff
New Kensington MP admits never going on Grenfell Silent Walk. Conservative Felicity Buchan won seat from Labour, on eve of 30 month anniversary of the fire. But gaining trust of community, won't be easy. As @RagsMartel reports.
@liuchbryan @StatMLIO Nice blog Bryan. Love this picture - so science.
Excited to share new work!!! “Generalization through Memorization: Nearest Neighbor Language Models” We introduce kNN-LMs, which extend LMs with nearest neighbor search in embedding space, achieving a new state-of-the-art perplexity on Wikitext-103, without additional training!
#nextgenerationAI #TheAlanTuringInstitute #UniofOxford
Xenia is part of the next generation of AI experts, studying at @UniofOxford and @turinginst, turning machine learning into practical solutions to worldwide problems #IndustrialStrategy
My 8yo came across my bound thesis in the basement, "read" it, and spontaneously wrote me this note. I will now be listing her as a suggested reviewer for all my manuscript submissions. ❤️
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