Adam Johansen
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
Reposted by Adam Johansen
Dr. Shishen Lin has joined us as a Research Fellow on the ERC Synergy OCEAN project from September. His research is in learning in games, black-box optimisation and evolutionary algorithms. He is also interested in reinforcement learning and its combination with evolutionary computation methods.
November 5, 2025 at 11:35 AM
Dr. Shishen Lin has joined us as a Research Fellow on the ERC Synergy OCEAN project from September. His research is in learning in games, black-box optimisation and evolutionary algorithms. He is also interested in reinforcement learning and its combination with evolutionary computation methods.
Reposted by Adam Johansen
Postdoc, Newcastle University (UK).
PINCODE researches Monte Carlo Fusion methods: this postdoc will help developing #rstats packages that bring this methodological work to life, as well as opportunities to contribute to further methodological development.
www.jobs.ac.uk/job/DOZ807/r...
PINCODE researches Monte Carlo Fusion methods: this postdoc will help developing #rstats packages that bring this methodological work to life, as well as opportunities to contribute to further methodological development.
www.jobs.ac.uk/job/DOZ807/r...
Research Associate/Assistant in Statistics at Newcastle University
Apply for the Research Associate/Assistant in Statistics role on jobs.ac.uk, the top job board for academic positions in higher education. View details and apply now.
www.jobs.ac.uk
October 22, 2025 at 11:49 AM
Postdoc, Newcastle University (UK).
PINCODE researches Monte Carlo Fusion methods: this postdoc will help developing #rstats packages that bring this methodological work to life, as well as opportunities to contribute to further methodological development.
www.jobs.ac.uk/job/DOZ807/r...
PINCODE researches Monte Carlo Fusion methods: this postdoc will help developing #rstats packages that bring this methodological work to life, as well as opportunities to contribute to further methodological development.
www.jobs.ac.uk/job/DOZ807/r...
Reposted by Adam Johansen
The Annual General Meeting (AGM) of the RSS CSML will take place on 2 December, 12:00–13:00 (UK time) via Zoom. The meeting is open to all and will review the section’s activities from the past year, outline plans for the year ahead, and present the committee for 2026.
October 16, 2025 at 12:29 PM
The Annual General Meeting (AGM) of the RSS CSML will take place on 2 December, 12:00–13:00 (UK time) via Zoom. The meeting is open to all and will review the section’s activities from the past year, outline plans for the year ahead, and present the committee for 2026.
Reposted by Adam Johansen
Applications are invited for Chapman Fellow in Mathematics (Statistics Section) at the Department of Mathematics.
Closing date: 11 November 2025
www.imperial.ac.uk/jobs//search...
Closing date: 11 November 2025
www.imperial.ac.uk/jobs//search...
October 9, 2025 at 11:51 AM
Applications are invited for Chapman Fellow in Mathematics (Statistics Section) at the Department of Mathematics.
Closing date: 11 November 2025
www.imperial.ac.uk/jobs//search...
Closing date: 11 November 2025
www.imperial.ac.uk/jobs//search...
Reposted by Adam Johansen
Thinking about doing a PhD in statistics, probability or mathematical finance? Want to learn more about doctoral training at Warwick Statistics? Register now for our upcoming PhD Open Days. Find more information and book your place here: warwick.ac.uk/fac/sc...
October 8, 2025 at 1:29 PM
Thinking about doing a PhD in statistics, probability or mathematical finance? Want to learn more about doctoral training at Warwick Statistics? Register now for our upcoming PhD Open Days. Find more information and book your place here: warwick.ac.uk/fac/sc...
Reposted by Adam Johansen
We are hiring!
We are inviting applications for the Chapman Fellowship in Statistics at Imperial College London.
This is a kind of super-postdoc: 3 years contract, excellent working conditions, and candidates are expected to propose an independent research plan.
www.imperial.ac.uk/jobs//search...
We are inviting applications for the Chapman Fellowship in Statistics at Imperial College London.
This is a kind of super-postdoc: 3 years contract, excellent working conditions, and candidates are expected to propose an independent research plan.
www.imperial.ac.uk/jobs//search...
Imperial College London Authentication - Stale Request
www.imperial.ac.uk
October 1, 2025 at 12:39 PM
We are hiring!
We are inviting applications for the Chapman Fellowship in Statistics at Imperial College London.
This is a kind of super-postdoc: 3 years contract, excellent working conditions, and candidates are expected to propose an independent research plan.
www.imperial.ac.uk/jobs//search...
We are inviting applications for the Chapman Fellowship in Statistics at Imperial College London.
This is a kind of super-postdoc: 3 years contract, excellent working conditions, and candidates are expected to propose an independent research plan.
www.imperial.ac.uk/jobs//search...
Congratulations to Rocco Caprio -- thesis defended, minor corrections done and graduation imminent. Thanks to Gareth Roberts and Andrew Duncan for examining the thesis. Rocco is now a Prob-AI-funded research fellow warwick.ac.uk/fac/sci/stat... and I look forward to seeing what comes next.
Rocco Caprio
warwick.ac.uk
September 25, 2025 at 2:58 PM
Congratulations to Rocco Caprio -- thesis defended, minor corrections done and graduation imminent. Thanks to Gareth Roberts and Andrew Duncan for examining the thesis. Rocco is now a Prob-AI-funded research fellow warwick.ac.uk/fac/sci/stat... and I look forward to seeing what comes next.
There are a couple of vacancies in Wollongong for Maths/Stats lecturers:
www.uow.edu.au/about/jobs/j...
www.uow.edu.au/about/jobs/j...
www.uow.edu.au
September 23, 2025 at 8:03 AM
There are a couple of vacancies in Wollongong for Maths/Stats lecturers:
www.uow.edu.au/about/jobs/j...
www.uow.edu.au/about/jobs/j...
Reposted by Adam Johansen
Some fun news: We're hiring!
Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol.
Closing date 13 October 2025; link below!
www.bristol.ac.uk/jobs/find/de...
Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol.
Closing date 13 October 2025; link below!
www.bristol.ac.uk/jobs/find/de...
September 22, 2025 at 1:28 PM
Some fun news: We're hiring!
Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol.
Closing date 13 October 2025; link below!
www.bristol.ac.uk/jobs/find/de...
Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol.
Closing date 13 October 2025; link below!
www.bristol.ac.uk/jobs/find/de...
Reposted by Adam Johansen
RcppSMC 0.2.9 on CRAN: Maintenance
Sequential Monte Carlo / Particle Filters for R
dirk.eddelbuettel.com/blog/2025/09...
#rstats #rcpp
Sequential Monte Carlo / Particle Filters for R
dirk.eddelbuettel.com/blog/2025/09...
#rstats #rcpp
September 9, 2025 at 8:44 PM
RcppSMC 0.2.9 on CRAN: Maintenance
Sequential Monte Carlo / Particle Filters for R
dirk.eddelbuettel.com/blog/2025/09...
#rstats #rcpp
Sequential Monte Carlo / Particle Filters for R
dirk.eddelbuettel.com/blog/2025/09...
#rstats #rcpp
Reposted by Adam Johansen
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.
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.
September 2, 2025 at 12:13 PM
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.
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.
As evidence that this prediction wasn't too bad, [https://academic.oup.com/biomet/advance-article/doi/10.1093/biomet/asaf061/8223075](Rocco's second paper), showing the fast convergence of the venerable EM algorithm using a rather fun functional analysis argument, is in press for Biometrika.
I'm sure this will be the first of many.
Congratulations to PhD student Rocco Caprio on the acceptance of his first paper, "Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities" arxiv.org/abs/2403.0..., on functional
inequalities and algorithm convergence - it will appear in JMLR.
inequalities and algorithm convergence - it will appear in JMLR.
August 7, 2025 at 4:11 PM
As evidence that this prediction wasn't too bad, [https://academic.oup.com/biomet/advance-article/doi/10.1093/biomet/asaf061/8223075](Rocco's second paper), showing the fast convergence of the venerable EM algorithm using a rather fun functional analysis argument, is in press for Biometrika.
Applications are still open for another two weeks.
If anyone is, or knows anyone who is, looking for a postdoc position to work on the foundations of scalable inference and such... applications for a postdoctoral position at Warwick as a part of the OCEAN project (oceanerc.com) are open until 20th August at warwick-careers.tal.net/vx/appcentre....
OCEAN
OCEAN is an ERC Synergy grant gathering researchers to lay the fundations of the next-generation machine learning algorithms, involving decentralized inference and predictive tasks in the presence …
oceanerc.com
August 6, 2025 at 7:23 PM
Applications are still open for another two weeks.
If anyone is, or knows anyone who is, looking for a postdoc position to work on the foundations of scalable inference and such... applications for a postdoctoral position at Warwick as a part of the OCEAN project (oceanerc.com) are open until 20th August at warwick-careers.tal.net/vx/appcentre....
OCEAN
OCEAN is an ERC Synergy grant gathering researchers to lay the fundations of the next-generation machine learning algorithms, involving decentralized inference and predictive tasks in the presence …
oceanerc.com
July 23, 2025 at 10:27 AM
If anyone is, or knows anyone who is, looking for a postdoc position to work on the foundations of scalable inference and such... applications for a postdoctoral position at Warwick as a part of the OCEAN project (oceanerc.com) are open until 20th August at warwick-careers.tal.net/vx/appcentre....
Reposted by Adam Johansen
New work on inference for partially observed (hypoelliptic) SDEs in frequentist/Bayesian regimes.
Splitting schemes & controlled SMC (+ bridges) to recover the (pseudo)likelihood of interest
arxiv.org/abs/2507.14535
Work led by Shu, with @adamjohansen.bsky.social and @bayesianstats.bsky.social
Splitting schemes & controlled SMC (+ bridges) to recover the (pseudo)likelihood of interest
arxiv.org/abs/2507.14535
Work led by Shu, with @adamjohansen.bsky.social and @bayesianstats.bsky.social
July 22, 2025 at 3:09 PM
New work on inference for partially observed (hypoelliptic) SDEs in frequentist/Bayesian regimes.
Splitting schemes & controlled SMC (+ bridges) to recover the (pseudo)likelihood of interest
arxiv.org/abs/2507.14535
Work led by Shu, with @adamjohansen.bsky.social and @bayesianstats.bsky.social
Splitting schemes & controlled SMC (+ bridges) to recover the (pseudo)likelihood of interest
arxiv.org/abs/2507.14535
Work led by Shu, with @adamjohansen.bsky.social and @bayesianstats.bsky.social
Reposted by Adam Johansen
Second blog post about nested sampling: numerical experiments;
https://statisfaction-blog.github.io/posts/30-06-2025-nested-sampling-experiments/
https://statisfaction-blog.github.io/posts/30-06-2025-nested-sampling-experiments/
Nested sampling and SMC: numerical experiments – Statisfaction - I can’t get no
statisfaction-blog.github.io
July 1, 2025 at 6:46 AM
Second blog post about nested sampling: numerical experiments;
https://statisfaction-blog.github.io/posts/30-06-2025-nested-sampling-experiments/
https://statisfaction-blog.github.io/posts/30-06-2025-nested-sampling-experiments/
Reposted by Adam Johansen
Shunichi Amari has been awarded the 40th (2025) Kyoto Prize in recognition of his pioneering research in the fields of artificial neural networks, machine learning, and information geometry
www.riken.jp/pr/news/2025...
www.riken.jp/pr/news/2025...
甘利 俊一 栄誉研究員が「京都賞」を受賞
甘利 俊一栄誉研究員（本務：帝京大学 先端総合研究機構 特任教授）は、人工ニューラルネットワーク、機械学習、情報幾何学分野での先駆的な研究が評価され、第40回（2025）京都賞（先端技術部門 受賞対象分野：情報科学）を受賞しました。
www.riken.jp
June 20, 2025 at 1:26 PM
Shunichi Amari has been awarded the 40th (2025) Kyoto Prize in recognition of his pioneering research in the fields of artificial neural networks, machine learning, and information geometry
www.riken.jp/pr/news/2025...
www.riken.jp/pr/news/2025...
Reposted by Adam Johansen
We are recruiting! A three-year postdoctoral position at Warwick as part of the “Probabilistic Artificial Intelligence” hub on the mathematical foundations of AI. Further details at the link: warwick-careers.tal....
June 26, 2025 at 11:00 AM
We are recruiting! A three-year postdoctoral position at Warwick as part of the “Probabilistic Artificial Intelligence” hub on the mathematical foundations of AI. Further details at the link: warwick-careers.tal....
Reposted by Adam Johansen
🥳 Congratulations are in order for:
our newly promoted professors
FX
Robin
Paul
Terry
as well as for our newly promoted Associated Professors
Tom H
Alex D
Takoua
Emma
Brieuc
our newly promoted professors
FX
Robin
Paul
Terry
as well as for our newly promoted Associated Professors
Tom H
Alex D
Takoua
Emma
Brieuc
June 18, 2025 at 9:53 AM
🥳 Congratulations are in order for:
our newly promoted professors
FX
Robin
Paul
Terry
as well as for our newly promoted Associated Professors
Tom H
Alex D
Takoua
Emma
Brieuc
our newly promoted professors
FX
Robin
Paul
Terry
as well as for our newly promoted Associated Professors
Tom H
Alex D
Takoua
Emma
Brieuc
Reposted by Adam Johansen
Post blog on an attempt of giving a simple introduction to NS (nested sampling), and NS-SMC (SMC samplers based on NS):
https://statisfaction-blog.github.io/posts/04-06-2025-simpler-nested-sampling-identity/nested.html
https://statisfaction-blog.github.io/posts/04-06-2025-simpler-nested-sampling-identity/nested.html
A simpler nested sampling identity – Statisfaction - I can’t get no
statisfaction-blog.github.io
June 13, 2025 at 6:41 AM
Post blog on an attempt of giving a simple introduction to NS (nested sampling), and NS-SMC (SMC samplers based on NS):
https://statisfaction-blog.github.io/posts/04-06-2025-simpler-nested-sampling-identity/nested.html
https://statisfaction-blog.github.io/posts/04-06-2025-simpler-nested-sampling-identity/nested.html
I'm sure this will be the first of many.
Congratulations to PhD student Rocco Caprio on the acceptance of his first paper, "Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities" arxiv.org/abs/2403.0..., on functional
inequalities and algorithm convergence - it will appear in JMLR.
inequalities and algorithm convergence - it will appear in JMLR.
June 12, 2025 at 11:36 AM
I'm sure this will be the first of many.
Reposted by Adam Johansen
🚨 New paper: “Towards Adaptive Self-Normalized IS”, @ IEEE Statistical Signal Processing Workshop.
TLDR;
To estimate µ = E_p[f(θ)] with SNIS, instead of doing MCMC on p(θ) or learning a parametric q(θ), we try MCMC directly on p(θ)| f(θ)-µ | (variance-minimizing proposal).
arxiv.org/abs/2505.00372
TLDR;
To estimate µ = E_p[f(θ)] with SNIS, instead of doing MCMC on p(θ) or learning a parametric q(θ), we try MCMC directly on p(θ)| f(θ)-µ | (variance-minimizing proposal).
arxiv.org/abs/2505.00372
Towards Adaptive Self-Normalized Importance Samplers
The self-normalized importance sampling (SNIS) estimator is a Monte Carlo estimator widely used to approximate expectations in statistical signal processing and machine learning.
The efficiency of S...
arxiv.org
May 2, 2025 at 1:29 PM
🚨 New paper: “Towards Adaptive Self-Normalized IS”, @ IEEE Statistical Signal Processing Workshop.
TLDR;
To estimate µ = E_p[f(θ)] with SNIS, instead of doing MCMC on p(θ) or learning a parametric q(θ), we try MCMC directly on p(θ)| f(θ)-µ | (variance-minimizing proposal).
arxiv.org/abs/2505.00372
TLDR;
To estimate µ = E_p[f(θ)] with SNIS, instead of doing MCMC on p(θ) or learning a parametric q(θ), we try MCMC directly on p(θ)| f(θ)-µ | (variance-minimizing proposal).
arxiv.org/abs/2505.00372
Reposted by Adam Johansen
Announcing our 2025/26 William Guy Lecturers 📢
Focusing on "Statistics and AI," these talks will inspire students about the role of statistics in our tech-driven world.
🔗 Read more: rss.org.uk/news-publica...
Focusing on "Statistics and AI," these talks will inspire students about the role of statistics in our tech-driven world.
🔗 Read more: rss.org.uk/news-publica...
Announcing our 2025-26 William Guy Lecturers
rss.org.uk
June 3, 2025 at 12:05 PM
Announcing our 2025/26 William Guy Lecturers 📢
Focusing on "Statistics and AI," these talks will inspire students about the role of statistics in our tech-driven world.
🔗 Read more: rss.org.uk/news-publica...
Focusing on "Statistics and AI," these talks will inspire students about the role of statistics in our tech-driven world.
🔗 Read more: rss.org.uk/news-publica...
Reposted by Adam Johansen
Tim Y. J. Wang, Juan Kuntz, O. Deniz Akyildiz
Training Latent Diffusion Models with Interacting Particle Algorithms
https://arxiv.org/abs/2505.12412
Training Latent Diffusion Models with Interacting Particle Algorithms
https://arxiv.org/abs/2505.12412
May 20, 2025 at 7:29 AM
Tim Y. J. Wang, Juan Kuntz, O. Deniz Akyildiz
Training Latent Diffusion Models with Interacting Particle Algorithms
https://arxiv.org/abs/2505.12412
Training Latent Diffusion Models with Interacting Particle Algorithms
https://arxiv.org/abs/2505.12412
If anyone missed the RSS Gradient Flow workshop back in March, videos are now available...
May 23, 2025 at 8:14 PM
If anyone missed the RSS Gradient Flow workshop back in March, videos are now available...