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felixleopoldo committed Mar 21, 2024
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283 changes: 283 additions & 0 deletions csl_papers.html
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<!-- This site is based on the webpage of Judea Pearl, thanks a lot. http://bayes.cs.ucla.edu/jp_home.html -->

<html>

<head>
<!-- Google tag (gtag.js) -->
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<meta name="GENERATOR" content="Microsoft FrontPage 4.0">
<meta name="ProgId" content="FrontPage.Editor.Document">
<title>Publications</title>
</head>


<body bgcolor="fffff0">
<p align="center">
<font face="arial" size="2"><b>
<font color="#003366">FELIX RIOS: <br>PUBLICATIONS, SUBMISSIONS, AND
WORKING PAPERS
</b>
</p>
<p align="center">
<a href="index.html" target="_top">HOME</a> &#8195; &#8195;
<a href="csl_papers.html">PUBLICATIONS</a> &#8195; &#8195;
<a href="software.html">SOFTWARE</a> &#8195; &#8195;
<a href="stat_bio.html">BIO</a> &#8195; &#8195;

</p>

<dl>
<p>
<font face="arial" size="2">
<!-- <p>Research was partially supported by grants from AFOSR, NIH, NSF and ONR (MURI). </p> -->

<p>

<img src="01-g.gif" alt="3." align="bottom" border="0" height="20" width="20"> Publications:

<dt>
<font face="arial" size="2"><b>
<font color="#000099">(R-4):</font>
</b>&nbsp;
<a href="https://www.ams.org/journals/tpms/2023-109-00/S0094-9000-2023-01198-0/home.html"
target="_blank">[pdf]</a>
<a href="https://www.ams.org/journals/tpms/2023-109-00/S0094-9000-2023-01198-0/home.html"
target="_blank">[bib]</a> &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Tatjana Pavlenko, Felix L Rios</b>,
"Graphical posterior predictive classification: Bayesian model averaging with particle
Gibbs"
<br>
<font face="arial" size="2">
In <i>Theory of Probability and Mathematical Statistics</i>, Vol. 109, 81--99, December
2023.
<p>

<dt>
<font face="arial" size="2"><b>
<font color="#000099">(R-3):</font>
</b>&nbsp;
<a href="https://link.springer.com/article/10.1007/s11222-022-10113-2"
target="_blank">[pdf]</a>
<a href="https://link.springer.com/article/10.1007/s11222-022-10113-2"
target="_blank">[bib]</a> &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Jimmy Olsson, Tatjana Pavlenko, Felix L Rios</b>,
"Sequential sampling of junction trees for decomposable graphs"
<br>
<font face="arial" size="2">
In <i>Statistics and Computing</i>, Vol. 32, No. 80, September 2022.
<p>
<dt>

<dt>
<font face="arial" size="2"><b>
<font color="#000099">(R-2):</font>
</b>&nbsp;
<a href="https://www.sciencedirect.com/science/article/pii/S0264127520307346"
target="_blank">[pdf]</a>
<a href="https://www.sciencedirect.com/science/article/pii/S0264127520307346"
target="_blank">[bib]</a> &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Wangzhong Mu, Moshiour Rahaman, Felix L Rios, Joakim Odqvist,
Peter Hedström</b>,
"Predicting strain-induced martensite in austenitic steels by combining physical modelling
and machine learning,"
<br>
<font face="arial" size="2">In <i>Materials & Design</i>, Vol. 197, 109199, January 2021.
<p>
<dt>
<font face="arial" size="2"><b>
<font color="#000099">(R-1):</font>
</b>&nbsp;
<a href="https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-13/issue-2/Bayesian-learning-of-weakly-structural-Markov-graph-laws-using-sequential/10.1214/19-EJS1585.full"
target="_blank">[pdf]</a>
<a href="https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-13/issue-2/Bayesian-learning-of-weakly-structural-Markov-graph-laws-using-sequential/10.1214/19-EJS1585.full"
target="_blank">[bib]</a> &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Jimmy Olsson, Tatjana Pavlenko, Felix L Rios</b>,
"Bayesian learning of weakly structural Markov graph laws using sequential Monte Carlo
methods"
<br>
<font face="arial" size="2">
In <i>Electronic Journal of Statistics</i>, Vol. 13, No. 2, 2865-2897, January 2019.
<p>
<dt>

<p>
<img src="02-g.gif" alt="2." align="bottom" border="0" height="20" width="20">
<font face="arial" size="2"> Preprints:
</font>
<dt>
<font face="arial" size="2"><b>
<font color="#000099">(P-2):</font>
</b>&nbsp;
<a href="https://arxiv.org/abs/2402.07762" target="_blank">[pdf]</a>
<a href="https://arxiv.org/abs/2402.07762" target="_blank">[bib]</a> &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Felix L Rios, Alex Markham, Liam Solus</b>,
"Scalable Structure Learning for Sparse Context-Specific Causal Systems,"
<br>
<font face="arial" size="2">In <i>ArXiv</i>, January 2024.
<p>
<dt>
<font face="arial" size="2"><b>
<font color="#000099">(P-1):</font>
</b>&nbsp;
<a href="https://arxiv.org/abs/2107.03863" target="_blank">[pdf]</a>
<a href="https://arxiv.org/abs/2107.03863" target="_blank">[bib]</a> &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Felix L Rios, Giusi Moffa, Jack Kuipers</b>,
"Benchpress: A scalable and versatile workflow for benchmarking structure learning
algorithms,"
<br>
<font face="arial" size="2">In <i>ArXiv</i>, January 2021.
</p>

</p>
<img src="03-g.gif" alt="3." align="bottom" border="0" height="20" width="20">
<font face="arial" size="2"> Talks:
</font>
<p></p>
<dt>
<font face="arial" size="2"><b>
<font color="#000099">(T-5):</font>
</b>&nbsp;
<a href="Benchpress_Tutorial.pdf" target="_blank">[pdf]</a>
<a href="https://www.youtube.com/watch?v=tx3hIH3b9Hg" target="_blank">[video]</a> &nbsp; &nbsp;
</font>
</dt>
<dt>
<font face="arial" size="2"><b>Felix L Rios</b>,
"Structure learning using Benchpress"
<br>
at the <i>39th Conference on Uncertainty in Artifical Intelligence</i>
(uai2023),
Pittsburgh, PA, July 31, 2023
</font>
<p>
</p>
</dt>

<dt>
<font face="arial" size="2"><b>
<font color="#000099">(T-4):</font>
</b>&nbsp;

</font>
</dt>
<dt>
<font face="arial" size="2"><b>Jack Kuipers and Felix L Rios</b>,
"Benchpress: A Snakemake workflow for running
and benchmarking structure learning in graphical models"
<br>
at <i>Causality Reading Group: Causal Discovery: Simon’s Institute,</i>
Berkeley, 2022
</font>
<p>
</p>
</dt>


<dt>
<font face="arial" size="2"><b>
<font color="#000099">(T-3):</font>
</b>&nbsp;

</font>
</dt>
<dt>
<font face="arial" size="2"><b>Felix L Rios</b>,
"Bayesian learning of weakly structural Markov laws using sequential Monte Carlo
methods"
<br>
at the <i>CMStatistics,</i> London, 2019
</font>
<p>
</p>
</dt>


<dt>
<font face="arial" size="2"><b>
<font color="#000099">(T-2):</font>
</b>&nbsp;

</font>
</dt>
<dt>
<font face="arial" size="2"><b>Felix L Rios</b>,
"The junction tree expanders and their application to the structure learning of
using particle Gibbs"
<br>
at the <i>The international workshop on perspectives on high-dimensional data
analysis,</i> Uppsala University, 2019
</font>
<p>
</p>
</dt>


<dt>
<font face="arial" size="2"><b>
<font color="#000099">(T-1):</font>
</b>&nbsp;

</font>
</dt>
<dt>
<font face="arial" size="2"><b>Felix L Rios</b>,
"Bayesian structure learning in decomposable graphical models using sequential Monte
Carlo methods"
<br>
at the <i>CLAPEM,</i> Mérida, México, 2019

</font>
<p>
</p>
</dt>


<p>
<font face="arial" size="2">Return to <a href="index.html" target="_top">Rios'
HomePage</a>
<!----------------------- Requests ----------------------->
</font>
</p>
<hr>
<p>
<font face="arial" size="2">REPORT REQUESTS are to be directed to: </font>
</p>
<p>
<font face="arial" size="2">&nbsp; </font>
</p>
<address>
<p>
<font face="arial" size="2"> Felix Rios ([email protected])
Stockholm, Sweden </font>
</p>
</address>


</body>

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55 changes: 55 additions & 0 deletions home.htm
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<!-- This site is based on the webpage of Judea Pearl, thanks a lot. http://bayes.cs.ucla.edu/jp_home.html -->
<html>

<head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-KHLCBJRR7P"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() { dataLayer.push(arguments); }
gtag('js', new Date());

gtag('config', 'G-KHLCBJRR7P');
</script>
<title>FELIX RIOS' HOMEPAGE</title>
</head>

<body bgcolor="fffff0">
<table>
<tbody>
<tr>
<p align="center">
<font face="arial" size="2"><b>
<font color="#003366">FELIX RIOS - HOME
</b>
</p>
<p align="center">
<a href="index.html" target="_top">HOME</a> &#8195; &#8195;
<a href="csl_papers.html">PUBLICATIONS</a> &#8195; &#8195;
<a href="software.html">SOFTWARE</a> &#8195; &#8195;
<a href="stat_bio.html">BIO</a> &#8195; &#8195;

</font>
</font>
</p>
<p>
<font face="arial" size="2"> Welcome to my homepage.
<p> Here you can find out what I am up to, new submissions, working papers,
adventures and introspections.
<p>
Some years ago I found myself writing yet another script for benchmarking structure learning algorithms.
After I while I got tired of that so I created <a href="https://benchpressdocs.readthedocs.io/en/latest/"
target="_blank">Benchpress</a> instead, a general <a href="https://snakemake.readthedocs.io/en/stable/">Snakemake</a> workflow which solves the benchmarking problem once and for all. Thanks to Jack Kuipers and Giusi Moffa for the collaboration and to Mohamad Elmasri, James Cussens, Alex Markham, and others for your contributions and feedback.
</br>
</br>
See the tutorial I gave at the 39th Conference on Uncertainty in Artifical Intelligence (uai2023),
Pittsburgh, PA, July 31, 2023:
</p>
<iframe width="420" height="315" src="https://www.youtube.com/embed/tx3hIH3b9Hg">
</iframe>
</tr>
</tbody>
</table>
</body>

</html>
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<!-- This site is based on the webpage of Judea Pearl, thanks a lot. http://bayes.cs.ucla.edu/jp_home.html -->

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
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