Want โก-fast and efficient density estimation with Bayesian properties? Quasi-Bayesian Vines are the tool you need!
We get predictive densities through recursion without any MCMC. Check out the #NeurIPS2024 poster on Friday from 4:30 to 7:30 PM in the East Exhibit Hall #3806.
tinyurl.com/53vmafc8
13.12.2024 05:27 โ ๐ 6 ๐ 1 ๐ฌ 0 ๐ 0
The authors write: "If your pseudo-marginal MCMC (e.g. ABC) is stuck trying to reach to an approximate posterior, use adjusted SGLD (hugely efficient) with scoring rule posterior (guaranteed to contract to correct parameters)!"
29.11.2024 12:00 โ ๐ 0 ๐ 1 ๐ฌ 0 ๐ 0
New paper "Generalized Bayesian Likelihood-free inference" in EJS by Pacchiardi, Khoo and Dutta. projecteuclid.org/jo...
29.11.2024 12:00 โ ๐ 11 ๐ 2 ๐ฌ 1 ๐ 0
Applications are now open for the Warwick Centre for Doctoral Training in Statistics. Follow the links below to apply, or to register for our open day on Wednesday.
warwick.ac.uk/fac/sc... warwick.ac.uk/fac/sc...
28.10.2024 09:37 โ ๐ 8 ๐ 6 ๐ฌ 0 ๐ 0
Anastasia Mantziou has joined us as Harrison Assistant Professor. Her research interests lie in statistical analysis of networks. She specialises in statistical modelling of network populations, with applications in neuroscience, ecology, economics and cyber-security.
04.11.2024 12:00 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
Join us! We are currently advertising two faculty positions: Assistant Professor (Computational, Methodological or Theoretical Statistics or Machine Learning) and Assistant Professor (Mathematical Finance). www.warwick.ac.uk/st... Deadline: Jan 6th
21.11.2024 12:00 โ ๐ 11 ๐ 9 ๐ฌ 0 ๐ 0
Welcome to the Department Kirsty Hassall! Kirstyโs research is in statistical applications in the agri-environment sector focussing on how to robustly construct hybrid models that combine empirical, mechanistic, stochastic and decision elements.
22.11.2024 12:00 โ ๐ 7 ๐ 1 ๐ฌ 0 ๐ 0
Breaking the glass ceiling of high dimensions with few training samples, when copulas meet vines.
22.11.2024 10:42 โ ๐ 3 ๐ 0 ๐ฌ 0 ๐ 0
Hello, world! We are a community-developed toolkit that performs Bayesian inference for simulators. We support a broad range of methods (NPE, NLE, NRE, amortized and sequential), neural network architectures (flows, diffusion models), samplers, and diagnostics. Join us!
18.11.2024 07:26 โ ๐ 26 ๐ 8 ๐ฌ 1 ๐ 0
The next UCL centre for Data Science/UCL ELLIS unit event will be on "Computational Statistics and Machine Learning in the Sciences" will take place in-person on the 5th December at the London Mathematical Society.
Full details, incl registration: www.ucl.ac.uk/big-data
18.11.2024 09:28 โ ๐ 12 ๐ 5 ๐ฌ 0 ๐ 0
Epigeneticist, Scientist & Molecular Biologist studying epigenetic cellular memory, epigenetic inheritance & mechano-epigenomic code in gliomas.
#epigenomics #epigenetics #singlecell #chromatin
https://www.linkedin.com/in/damian-toczydlowski/
Assistant Professor of Statistics @economicsunito.bsky.social University of Torino and Collegio Carlo Alberto Affiliate. He/him.
๐ ๐ฌ, ๐ณ๏ธโ๐, & ๐ช๐บ; usual disclaimers.
PhD student @ HumboldtUni in Berlin, microeconomic theory, information economics & (digital) competition policy.
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
Lecturer (Assistant Prof) in Statistical Science at UCL.
Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.
Interested in computational stats, probabilistic ML, optimisation.
Website: https://louissharrock.github.io/
Freelance journalist based in UK / Finland.
StephaneRolland@332ppm REPOSTS
Rom๐ซ๐ท๐ช๐ธ๐ฒ๐ฝ๐ช๐จ๐ฎ๐น๐ต๐น๐ง๐ทGL๐ท๐ด,CAT
Ger๐ฌ๐ง๐ณ๐ฑ๐ง๐ช๐ฉ๐ช๐ธ๐ช๐ฉ๐ฐ๐ณ๐ด,๐ฎ๐ธ
~
EO
Sla๐ต๐ฑ๐บ๐ฆ,๐จ๐ฟ๐ญ๐ท๐ง๐ฌ๐ธ๐ฐ๐ท๐บ
๐จ๐ณ๐น๐ผ,๐ฏ๐ต๐น๐ท๐ซ๐ฎ
Cel๐ด๓ ง๓ ข๓ ท๓ ฌ๓ ณ๓ ฟ๐ฎ๐ช๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ
Linguistics
Climate
AgnotologyDisinformation
Antispeciesism Flexitarian ๐๐
Astro ๐๐๐๐ Calligraphy ๐ชถ๐ป๐๐ธ
Linux NixOS FP/Maths Haskell C++ Python Bash Stats Bayes ML
Statistics Associate Prof at the Free University of Bozen-Bolzano โข Sometimes I run, sometimes over mountains โข alessandrocasa.github.io
Director, Advanced Analytics at Unity Health Toronto. So early to Blue Sky they don't even allow underscores. I like beer, data, and multivariate blah-blahs. 2x Guinness world record holder in nonsense (5 person half and full marathon)
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montrรฉal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
Professor of HCII and LTI at Carnegie Mellon School of Computer Science.
jeffreybigham.com
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Associate Prof. in ML & Statistics at NUS ๐ธ๐ฌ
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
AI @ OpenAI, Tesla, Stanford
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
