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<!DOCTYPE HTML>
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<title>Xenia Miscouridou - Home Page</title>
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<li><strong><a href="index.html">Home</a></strong></li>
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<h2>Xenia Miscouridou</h2>
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<h2>About Me</h2>
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<p>I am a PhD student in the <a href="http://csml.stats.ox.ac.uk/learning/" target="_blank"> Computational Statistics and Machine Learning group</a>, at the <a href="https://www.stats.ox.ac.uk/" target="_blank"> Department of Statistics</a> of the University of Oxford 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>.
I am a student in the <a href="http://www.oxwasp-cdt.ac.uk/" target="_blank"> Center for Doctoral Training in modern statistical science</a>. Previously, I completed a BSc in Mathematics at <a href="https://www.imperial.ac.uk/" target="_blank"> Imperial College London</a> and a master in Mathematical Statistics at the <a href="https://www.cam.ac.uk/" target="_blank"> University of Cambridge</a>.
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<p>
My research intersts lie in statistical machine learning with current focus on Bayesian Non parametric methods and models. My work so far is in the area of statistical network modeling. I am interested in graph models for the whole range of dense to sparse networks that can discover network features and characteristics often found in real world networks.
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<h4>Riemannian Manifold Hamiltonian Monte Carlo</h4>
<p>11/04/2017</p>
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<p>I updated the <a href="works.html">works page</a> so as to add the <a href="works.html#RMHMC">presentation</a> on my Computational Statistics course project which is about RMHMC.</p>
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<h4>Policy Search Review</h4>
<p>17/01/2017</p>
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<p>We have just presented our review on Policy Search, so I added the <a href="works.html#policySearchReview">report and the presentation</a> in the <a href="works.html">works page</a>.</p>
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<h4>Sparse Modular Graphs with Reciprocating Relationships</h4>
<p>04/12/2017</p>
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<p>I will be presenting a poster in the <a href="http://wimlworkshop.org/2017/">Women in Machine Learning (WiML)</a> workshop 2017 colocated with NIPS at Long Beach, LA, California.
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<h4>Thompson Sampling for GP-Bandits</h4>
<p>08/01/2017</p>
</header>
<p> I updated the <a href="works.html">works page</a> to add the <a href="works.html#gpbandits">report, presentation and source code</a> of my adaptation of Thompson Sampling for the Gaussian process bandit setting.</p>
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<h2>Curriculum vitae</h2>
<p>My Résumé is available <a href="PDFs/XMISCOURIDOU_CV.pdf" target="_blank">here</a>.
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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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