In the interim, I wanted to advertise our YouTube channel - youtube.com/@montecarlos... - which contains recordings for the bulk of our talks so far (sites.google.com/view/monte-c..., sites.google.com/view/monte-c...). I encourage you to catch up and enjoy them over the intervening months!
28.05.2025 17:03 โ ๐ 11 ๐ 3 ๐ฌ 0 ๐ 0
Starting from last October, we (@OnlineMCSeminar on Twitter, sites.google.com/view/monte-c...) have been running an online seminar on all aspects of Monte Carlo methods, with about ~30 talks so far. We are currently paused for the summer, expecting to return in September 2025.
28.05.2025 17:03 โ ๐ 22 ๐ 5 ๐ฌ 2 ๐ 0
Yeah, my guess is that generating pretty images does not necessarily require accurate sampling from the original distribution. That said, increasing the number of discretization steps still improves metrics like FID for DDIM.
08.04.2025 15:52 โ ๐ 3 ๐ 0 ๐ฌ 1 ๐ 0
If you think the process as targeting at p(x) using proposal q(x, xโ) = \int_y p(y|x) p(xโ|y) dy, then it should have acceptance 1?
25.03.2025 19:44 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
A recording of my talk from this afternoon: youtu.be/jSeXZ6IjKn8?...
18.02.2025 20:45 โ ๐ 45 ๐ 5 ๐ฌ 1 ๐ 0
A touch of self-advertisement: I'll be giving a research talk next Tuesday at the Online Monte Carlo Seminar (sites.google.com/view/monte-c...) on one of my favourite topics: the convergence properties of the Random Walk Metropolis algorithm. Please join us!
14.02.2025 16:31 โ ๐ 43 ๐ 9 ๐ฌ 1 ๐ 1
Post-Bayes seminar series โ seminar
Jeremias Knoblauch and other colleagues and friends in UCL launched a "Post-Bayes seminar series". Their will be many blocks of talks, including a series on PAC-Bayes (probably starting in September 2025).
The first talk (by Jeremias) is next week. Please have a look:
postbayes.github.io/seminar/
06.02.2025 06:46 โ ๐ 25 ๐ 13 ๐ฌ 0 ๐ 0
The recording, for anybody who's interested: youtu.be/FRoia-lszVM?.... Well worth a watch!
28.01.2025 20:38 โ ๐ 30 ๐ 4 ๐ฌ 0 ๐ 0
Honorable mentions
09.01.2025 16:42 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Can we directly use Ascolani-Lavenant-Zanella on this? I thought their entropy contraction implies spectral gap, spectral gap implies mixing time under warm start.
26.12.2024 07:14 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
BreimanLectureNeurIPS2024_Doucet.pdf
The slides of my NeurIPS lecture "From Diffusion Models to Schrรถdinger Bridges - Generative Modeling meets Optimal Transport" can be found here
drive.google.com/file/d/1eLa3...
15.12.2024 18:40 โ ๐ 327 ๐ 67 ๐ฌ 9 ๐ 6
Cross-posting this - please join us!
Mailing List link: groups.google.com/g/internatio...
YouTube Channel link: www.youtube.com/@MonteCarloS...
30.11.2024 20:51 โ ๐ 20 ๐ 5 ๐ฌ 2 ๐ 1
Blog and webinar by Young Statisticians Europe (YSE) of FENStatS, supported by the Bernoulli Society and the Institute of Mathematical Statistics.
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything
https://mschauer.github.io
http://orcid.org/0000-0003-3310-7915
[หmoห/r/ษชts หสaสฬฏษ]
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
https://maxhhird.github.io/
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
Applied probabilist. Probability, MCMC, optimization, information theory, TCS.
https://mchchoi.github.io/
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
Building generative models for high-dimensional science and engineering.
Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT
https://nmboffi.github.io
Assistant Professor of Statistics @ ESSEC Business School
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore ๐ธ๐ฌ
https://pierrealquier.github.io/
Previously: RIKEN AIP ๐ฏ๐ต ENSAE Paris ๐ซ๐ท ๐ช๐บ UCD Dublin ๐ฎ๐ช ๐ช๐บ
Random posts about stats/maths/ML/AI, poor jokes & birds photo ๐
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. There are four lights.
https://www.cs.cmu.edu/~kmcrane/
Department of Mathematical Sciences, University of Copenhagen https://jun.sites.ku.dk/
๐ฎ๐น Stats PhD @ University of Edinburgh ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ
@ellis.eu PhD - visiting @avehtari.bsky.social ๐ซ๐ฎ
๐ค๐ญ Monte Carlo, UQ.
Interested in many things relating to UQ, keen to learn applications in climate/science.
https://www.branchini.fun/about
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/
Posts about Bayesian statistics, Monte Carlo, etc from a Reader in Statistics at the University of Warwick https://bsky.app/profile/warwickstats.bsky.social. Personal account. https://richardgeveritt.github.io/
Statistician,Mother,Prof,Grandmother(she/her)๐ซ๐ท๐ต๐น๐บ๐ธ๐งช.
๐๏ธwith @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK.
Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization.
https://shusheng3927.github.io/
