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Reposted by Rui-Yang Zhang

Sam Power @spmontecarlo.bsky.social · 21d

The first talk of the season will be this coming Tuesday (23 September), given by Alexandre Bouchard-Côté from UBC. Alex is a great speaker, so do join if you have the chance!

See sites.google.com/view/monte-c... for details, links, and so on.

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Sam Power @spmontecarlo.bsky.social · 22d

Returning soon - stay tuned!

sites.google.com/view/monte-c...

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Royal Statistical Society @royalstatsoc.bsky.social · Sep 9

Join us online for a discussion on
“Statistical exploration of the Manifold Hypothesis” and an opportunity to explore the intersection of geometry, statistics and machine learning.

📅 Wed 08 Oct | 🕓 4–6pm UK
🔗 Register + download the paper: rss.org.uk/training-eve...

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Keenan Crane @keenancrane.bsky.social · Sep 6

“Everyone knows” what an autoencoder is… but there's an important complementary picture missing from most introductory material.

In short: we emphasize how autoencoders are implemented—but not always what they represent (and some of the implications of that representation).🧵

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Sam Power @spmontecarlo.bsky.social · Sep 3

Gearing up for this workshop next week, with the finalised schedule attached!

For those who are unable to attend in person, but are interested in watching the talks, they will be streamed live on MS Teams. Please do get in touch with me if you'd like to stay informed about the stream.

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Sam Power @spmontecarlo.bsky.social · Sep 2

An announcement, which might be of some interest:

In the period 2022-2024, myself and a number of other postdocs on the "CoSInES" and "Bayes4Health" EPSRC grants were involved in organising a number of internal tutorial workshops, on topics relevant to researchers in computational statistics.

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Rui-Yang Zhang @ryzhang.bsky.social · Aug 29

Very cool!

Sam Duffield @samduffield.com · Aug 29

New paper on arXiv! And I think it's a good'un 😄

Meet the new Lattice Random Walk (LRW) discretisation for SDEs. It’s radically different from traditional methods like Euler-Maruyama (EM) in that each iteration can only move in discrete steps {-δₓ, 0, δₓ}.

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Sam Duffield @samduffield.com · Aug 29

New paper on arXiv! And I think it's a good'un 😄

Meet the new Lattice Random Walk (LRW) discretisation for SDEs. It’s radically different from traditional methods like Euler-Maruyama (EM) in that each iteration can only move in discrete steps {-δₓ, 0, δₓ}.

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François-Xavier Briol @fxbriol.bsky.social · Aug 28

Just finished delivering a course on 'Robust and scalable simulation-based inference (SBI)' at Greek Stochastics. This covered an introduction to SBI, open challenges, and some recent contributions from my own group.

The slides are now available here: fxbriol.github.io/pdfs/slides-....

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Arno Solin @arnosolin.bsky.social · Aug 12

📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]

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arXiv stat.CO Computation @statco-bot.bsky.social · Aug 4

Liwen Xue, Axel Finke, Adam M. Johansen: Online Rolling Controlled Sequential Monte Carlo https://arxiv.org/abs/2508.00696 https://arxiv.org/pdf/2508.00696 https://arxiv.org/html/2508.00696

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Rui-Yang Zhang @ryzhang.bsky.social · Jul 28

Really enjoyed listening to this interview with Mike Giles. Only knew him from his multilevel Monte Carlo work, and it was quite a nice surprise to learn about his contributions to CFD and experiences with industrial collaborations!

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Sam Power @spmontecarlo.bsky.social · Jul 15

we're out here simulating, visualising, thriving

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Rui-Yang Zhang @ryzhang.bsky.social · Jul 11

Congrats !!!

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Motonobu Kanagawa @motonobu-kanagawa.bsky.social · Jun 24

We've written a monograph on Gaussian processes and reproducing kernel methods (with @philipphennig.bsky.social, @sejdino.bsky.social and Bharath Sriperumbudur).

arxiv.org/abs/2506.17366

Gaussian Processes and Reproducing Kernels: Connections and Equivalences

This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel Hilb...

arxiv.org

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Hadley Wickham @hadley.nz · Jun 10

Is #rstats dead? I don’t think so.

Line chart titled ‘Weekly Runs of RStudio IDE’ showing usage data from 2023 to 2025. The y-axis ranges from 2,000,000 to 6,000,000 weekly runs. The chart displays a cyclical pattern with regular peaks around 5,000,000-6,000,000 runs and dramatic drops to approximately 2,000,000 runs that occur periodically during holiday periods.

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Rui-Yang Zhang @ryzhang.bsky.social · Jun 9

Is it just me or does Google Scholar forbid searches via Avanti’s WiFi?

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Sam Power @spmontecarlo.bsky.social · May 29

The talks from the Post-Bayes workshop are now available online here - youtube.com/playlist?lis... - do take a look!

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Sam Power @spmontecarlo.bsky.social · May 28

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!

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Sam Power @spmontecarlo.bsky.social · May 28

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.

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Rui-Yang Zhang @ryzhang.bsky.social · May 27

Do you happen to have anything related to low-rank approximation / matrix sketching? Thanks !!

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arxiv.stat.ME @arxiv-stat-me.bsky.social · May 12

Luke Hardcastle, Samuel Livingstone, Gianluca Baio
Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo
https://arxiv.org/abs/2505.05932

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Moritz Schauer @mschauer.bsky.social · Apr 22

Demo for the sampler from our recent paper

discourse.julialang.org/t/ann-a-non-...

ANN: A non-reversible rejection-free HMC sampler

Hej! Have you ever wondered if momentum flips/refreshments are really needed in HMC or if we somehow can avoid to lose our sense of direction after each proposal step? Or even wondered if we could ge...

discourse.julialang.org

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Sam Power @spmontecarlo.bsky.social · Apr 21

Keen to read this:

arxiv.org/abs/2504.13322
'Foundations of locally-balanced Markov processes'
- Samuel Livingstone, Giorgos Vasdekis, Giacomo Zanella

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WIRED @wired.com · Mar 27

Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.

Inside arXiv—the Most Transformative Platform in All of Science

Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.

wrd.cm

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