EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford

United Kingdom
Joined December 2018
🚨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
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Greetings from the StatML Summer School 2023. What a tremendous group.
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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.
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StatML CDT retweeted
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 !
U-statistics are ubiquitous in everyday #Statistics & #MachineLearning. Check out the paper by @KevinHanHuang1, X Liu, AB Duncan & A Gandy that provides a theory in high-dimensional data context with applications to kernel-based distribution testing 👉 arxiv.org/abs/2302.05686
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🎉 Awarded an Outstanding Paper award 🎉 at Neurips 2022, updated from the ArXiv version, announcing "Riemannian Score-Based Generative Models" arxiv.org/pdf/2202.02763.pdf Joint work with @ValentinDeBort1 @MathieuEmile @JamesTThorn @yeewhye @ArnaudDoucet1 in @oxcsml @OxfordStats
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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 ‼️
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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
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A very warm welcome to Cohort 2022!
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Fully Funded Studentship for the StatML CDT available. Click on the link for more information statml.io/index.php/news/
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This week OliverRatmann & NunoFaria held a methods innovation accelerator workshop on novel approaches for automatizing viral phylogenetic analysis pipelines 👇
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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)
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Antoine Meyer at the ISBA 2022 World Meeting in Montreal Poster presentation, “TD-CARMA: A method for cosmological time delay estimation with CARMA process ”
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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
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ICYMI: Amazon to host StatML Oxford Imperial ML Workshop in Berlin office: amazon.science/latest-news/a… #ComputationalStatistics
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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.o…
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StatML CDT retweeted
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.o…
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📣 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
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It’s NeurIPS 2021 next week! If you are joining us next week, make sure to check out the work from our StatML students. 🧵 @Imperial_Stats @OxfordStats
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Sahra @SGhalebikesabi and Lucile @TerLucile will present their paper "On Locality of Local Explanation Models" @ Dec 10 04:30-06:00pm UTC (Poster Session 8). papers.nips.cc/paper/2021/fi…
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Bryan @liuchbryan will present his paper "Datasets for Online Controlled Experiments" @ Dec 10 04:30-06:00pm UTC (Dataset and Benchmark Poster Session 4). Paper: arxiv.org/pdf/2111.10198.pdf Dataset: osf.io/64jsb/ Intro video: youtube.com/watch?v=yooVVkCr…
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