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education.html
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<!DOCTYPE HTML>
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<h2>Xenia Miscouridou</h2>
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<h2>Education</h2>
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alt="Sparse Modular Graphs with Reciprocating Relationships" style="max-width: 160px"/></div> -->
<!-- <div class="content"> -->
<header>
<h3> PhD in Statistics</h3>
<b>Department of Statistics, <a href="http://www.ox.ac.uk/" target="_blank"> University of Oxford</a> </b></br>
<p>Oct 2014 - Jun 2019</p>
</header>
<p>
I am in the <a href="http://csml.stats.ox.ac.uk/learning/" target="_blank"> Computational Statistics and Machine Learning group</a>
</br> working with <a href="https://www.stats.ox.ac.uk/~caron/index.html" target="_blank">Francois Caron</a> and <a href="https://www.stats.ox.ac.uk/~teh/index.html" target="_blank">Yee Whye Teh</a>.
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alt="Sparse Modular Graphs with Reciprocating Relationships" style="max-width: 160px"/></div> -->
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<header>
<h3> Master of Mathematics/Master of Advanced Study </br> <a href="https://www.maths.cam.ac.uk/postgrad/mathiii" target="_blank"> (Part III of the Mathematical Tripos)</a> </h3>
<b> Department of Mathematics, <a href="https://www.cam.ac.uk/" target="_blank"> University of Cambridge</a> </b>
</br> Distinction </br>
Churchill Scholar
<p>Oct 2014 - Jun 2015</p>
</header>
<p>
<!-- I completed the <b> <a href="https://www.maths.cam.ac.uk/postgrad/mathiii" target="_blank"> Part III of the Mathematical Tripos </a> </b> in which -->
I specialised in Mathematical Statistics. My
project was on <b>Statistical Neuroimaging</b> entitled </br>
<b>“Theoretical and Empirical Comparison of Bayesian and Frequentist Inference and Methodology
for fMRI data analysis”.</b> </br>
Supervisor: Professor John Aston
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<header>
<h3> BSC in Mathematics </h3>
<b> Department of Mathematics, <a href="https://www.imperial.ac.uk/" target="_blank"> Imperial College London</a> </b></br>
First Class Honours </br>
Gloucester Research Prize, Ken Allen Prize
<p>Oct 2011 - Jun 2014</p>
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<p id="policySearchReview">
<a href="PDFs/policysearchreport.pdf" target="_blank">
<span class="image left">
<img src="Images/gps.jpg" title="Guided Policy Search" alt="Guided Policy Search" style="max-width: 120px">
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<h4>
Policy Search: A review
<a href="works.html#policySearchReview"><span class="image right"><img src="Images/link-to-here.png" title="Link to this paper" alt="Link to this paper" style="max-width: 15px"></span></a>
</h4>
<blockquote>
This is the result of a project part of the <a href="http://researchers.lille.inria.fr/~lazaric/Webpage/MVA-RL_Course16.html" target="_blank">Reinforcement Learning course</a> taught by <a href="http://researchers.lille.inria.fr/~lazaric/" target="_blank">A.Lazaric</a>. This project's goal was to write a review on Policy Search, a reinforcement learning's sub-field which proceeds by directly learning a parametrized policy without estimated any value function.
</blockquote>
Charles Reizine, Emile Mathieu, 2016<br>
[<a href="PDFs/policysearchreport.pdf" target="_blank">Report</a>] [<a href="PDFs/policysearchpresentation.pdf" target="_blank">Presentation</a>]
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<h4>
Factorial Hidden Markov Models
<a href="works.html#factorialHiddenMarkovmodel"><span class="image right"><img src="Images/link-to-here.png" title="Link to this paper" alt="Link to this paper" style="max-width: 15px"></span></a>
</h4>
<blockquote>
I studied in depth the <a href="http://www.ee.columbia.edu/~sfchang/course/svia-F03/papers/factorial-HMM-97.pdf" target="_blank">factorial hidden Markov models article</a> wrote by Zoubin Ghahramani and Michael I. Jordan as part of the <a href="http://imagine.enpc.fr/~obozinsg/teaching/mva_gm/fall2016/" target="_blank">Probabilistic Graphical Model course</a> taught by <a href="http://imagine.enpc.fr/~obozinsg/" target="_blank">Guillaume Obozinski</a> and <a href="http://www.di.ens.fr/~fbach" target="_blank">Francis Bach</a>. Factorial hidden Markov models are an extension of classical hidden Markov models with a distributed representation of their state's space.
</blockquote>
Emile Mathieu, 2016<br>
[<a href="PDFs/fhmmreport.pdf" target="_blank">Report</a>] [<a href="PDFs/fhmmposter.pdf" target="_blank">Poster</a>]
</p>
<p id="gpbandits">
<a href="PDFs/gpbanditsreport.pdf" target="_blank">
<span class="image left">
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</span>
</a>
<h4>
Gaussian Process Bandits with Thompson Sampling
<a href="works.html#gpbandits"><span class="image right"><img src="Images/link-to-here.png" title="Link to this paper" alt="Link to this paper" style="max-width: 15px"></span></a>
</h4>
<blockquote>
As part of the <a href="http://researchers.lille.inria.fr/~valko/hp/mva-ml-graphs.php" target="_blank">Graphs in ML course</a> taught by <a href="http://researchers.lille.inria.fr/~valko/" target="_blank">Michal Valko</a>, I proposed and implemented a Thompson Sampling algorithm for the Gaussian Process bandit setting. This setting is described in <a href="http://www-stat.wharton.upenn.edu/~skakade/papers/ml/bandit_GP_icml.pdf" target="_blank">Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design</a>.
</blockquote>
Emile Mathieu, 2016<br>
[<a href="PDFs/gpbanditsreport.pdf" target="_blank">Report</a>] [<a href="PDFs/gpbanditspresentation.pdf" target="_blank">Presentation</a>] [<a href="https://github.com/emilemathieu/Project_GP-bandits" target="_blank">Sources</a>]
</p>
<p id="stagescientifique">
<a href="PDFs/Rapport_Scientifique_light.pdf" target="_blank">
<span class="image left">
<img src="Images/bss.png" title="Bicycle sharing system" alt="Bicycle sharing system" style="max-width: 120px">
</span>
</a>
<h4>
Research Internship: Urban mobility data analysis
<a href="works.html#stagescientifique"><span class="image right"><img src="Images/link-to-here.png" title="Link to this paper" alt="Link to this paper" style="max-width: 15px"></span></a>
</h4>
<blockquote>
During an internship at <a href="http://www.ifsttar.fr/" target="_blank">Ifsttar</a>, I applied probabilistic models such as LDA, along with web visualizations, to transportation’s
data in order to enhance the understanding of commuters’ behavior.
</blockquote>
Emile Mathieu, 2014<br>
[<a href="PDFs/Rapport_Scientifique_light.pdf" target="_blank">Report</a>]
</p> -->
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xenia.miscouridou-at-spc.ox.ac.uk
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Department of Statistics<br>
University of Oxford<br>
24-29 St Giles<br>
Oxford OX1 3LB, UK
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