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  <title><![CDATA[ARC-TRIAD fellowship winners for Spring 2020]]></title>
  <body><![CDATA[<p>The&nbsp;<a href="http://arc.gatech.edu/">Algorithms and Randomness Center (ARC)</a>&nbsp;and&nbsp;<a href="https://triad.gatech.edu/">Transdisciplinary Research Institute for Advancing Data Science (TRIAD)</a>&nbsp;are pleased to announce the 10&nbsp;ARC-TRIAD&nbsp;fellowship receipients&nbsp;for the Spring 2020&nbsp;semester:</p>

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<p><strong>Timothy Duff</strong> (ACO, Math), Challenges in computational algebraic vision.</p>

<p><strong>Haoming Jiang</strong> (ML ISyE), Nonparametric Regression on Low Dimensional Manifolds using Neural Networks.</p>

<p><strong>Aditi Laddha</strong> (ACO CS), Better Approximation for Uniform Sparsest Cut.</p>

<p><strong>Jiaming Liang</strong> (OR ISyE), First-Order Methods for Nonconvex Smooth Composite Optimization Problems.</p>

<p><strong>Yuliia Lut </strong>(IE, IsyE) Improving accuracy for dynamic differential privacy with change-point detection.</p>

<p><strong>Andrew McRae</strong> (ECE), Exploiting low-dimensional manifold structure with kernel methods.</p>

<p><strong>Shengding Sun</strong> (ACO Math), Sparse positive semidefinite relaxations with S^{n,k}.</p>

<p><strong>Mohamed El Tonbari</strong> (OR, ISyE), On Two-Stage Distributionally Robust Optimization with Binary Variables.</p>

<p><strong>Liyan Xie</strong> (IE, ISyE), Distributionally Robust Nonparametric Hypothesis Testing.</p>

<p><strong>Yujie Zhao</strong> (Statistics ISyE)), Homotopic Methods can Significantly Speed up the Computation of the Non-differential Optimization Problems.</p>

<p>The selection committee comprised&nbsp;of Rachel Cummings, Xiaoming Huo,&nbsp; Debankur Mukherjee, Richard Peng, Mohit Singh, Prasad Tetali, Santosh Vempala,&nbsp;Yao Xie, and Josephine Yu.</p>

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<p>&nbsp;</p>
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      <value>2019-12-02T00:00:00-05:00</value>
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      <value><![CDATA[ARC-TRIAD Fellowship  winners for Spring 2020]]></value>
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