3rd Symposium on Machine Learning and Algorithmic Information Theory
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boumediene hamzi
Feb 21, 2026, 11:04:09 PM (11 hours ago) Feb 21
to Algorithmic Information Theory
Dear all,
I hope this message finds you well.
Following the successes of the 1st and 2nd editions held at the Alan Turing Institute in 2022 and at Imperial College in 2025, this symposium continues to explore the rich interface between Algorithmic Information Theory (AIT) and machine learning (ML), with a new emphasis on AI safety applications.
Objective:
The symposium aims to bring together researchers working at the intersection of AIT, learning theory, dynamical systems theory, agent foundations, and AI safety, with a particular focus on the application of concepts such as Kolmogorov complexity and algorithmic probability to contemporary questions about AI generalization, agent behaviour, and alignment. Topics of interest include, but are not limited to:
\begin{itemize}
\item Using AIT to explain a priori why certain ML methods succeed (or fail) on specific problems
\item Theoretical foundations and practical applications of Solomonoff induction
\item Connections between information theory, learning, data compression, and agency
\item Developing ML algorithms for improved prediction and compression that approximate Kolmogorov complexity
\item Probabilistic modeling through algorithmic probability frameworks
\item Embedded agency and imprecise probability
\item Using dynamical systems theory to study how learning algorithms approach compressible models
\end{itemize}
Organizing Committee: Boumediene Hamzi, Kamaludin Dingle, Marcus Hutter, Aram Ebtekar, Cole Wyeth
The event will most likely be in July at the Maths Institute in Oxford. Before moving forward with logistics (including securing a room), I’d like to gauge interest from those who may wish to contribute or participate.
As with the previous symposia, the event would likely run over 2–3 days, depending on the number of speakers.
If you're interested in contributing, please take a moment to fill out this short form:
👉 https://docs.google.com/forms/d/e/1FAIpQLSfQd4iB0Vu1Iw-3NUIXHB0W8LQhcytbxjnJBTo-8jSOVgysoA/viewform?uusppreview
Your input will help shape the scope and structure of the event.
I hope this message finds you well.
Following the successes of the 1st and 2nd editions held at the Alan Turing Institute in 2022 and at Imperial College in 2025, this symposium continues to explore the rich interface between Algorithmic Information Theory (AIT) and machine learning (ML), with a new emphasis on AI safety applications.
Objective:
The symposium aims to bring together researchers working at the intersection of AIT, learning theory, dynamical systems theory, agent foundations, and AI safety, with a particular focus on the application of concepts such as Kolmogorov complexity and algorithmic probability to contemporary questions about AI generalization, agent behaviour, and alignment. Topics of interest include, but are not limited to:
\begin{itemize}
\item Using AIT to explain a priori why certain ML methods succeed (or fail) on specific problems
\item Theoretical foundations and practical applications of Solomonoff induction
\item Connections between information theory, learning, data compression, and agency
\item Developing ML algorithms for improved prediction and compression that approximate Kolmogorov complexity
\item Probabilistic modeling through algorithmic probability frameworks
\item Embedded agency and imprecise probability
\item Using dynamical systems theory to study how learning algorithms approach compressible models
\end{itemize}
Organizing Committee: Boumediene Hamzi, Kamaludin Dingle, Marcus Hutter, Aram Ebtekar, Cole Wyeth
The event will most likely be in July at the Maths Institute in Oxford. Before moving forward with logistics (including securing a room), I’d like to gauge interest from those who may wish to contribute or participate.
As with the previous symposia, the event would likely run over 2–3 days, depending on the number of speakers.
If you're interested in contributing, please take a moment to fill out this short form:
👉 https://docs.google.com/forms/d/e/1FAIpQLSfQd4iB0Vu1Iw-3NUIXHB0W8LQhcytbxjnJBTo-8jSOVgysoA/viewform?uusppreview
Your input will help shape the scope and structure of the event.
Also, feel free to join our WhatsApp community at https://chat.whatsapp.com/G0ffByLucsKEsU472p3nXy?mode=gi_t
Looking forward to hearing from you!
Looking forward to hearing from you!
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