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  <title><![CDATA[ ARC-ACO Fellowship Winners for Spring 2022]]></title>
  <body><![CDATA[<p>The&nbsp;<a href="http://arc.gatech.edu/">Algorithms and Randomness Center (ARC)</a>&nbsp;and <a href="https://aco.gatech.edu/">Algorithms Combinatorics and Optimization (ACO)</a> are pleased to announce the following ARC-TRIAD&nbsp;fellowship receipients&nbsp;for the Spring 2022 semester.</p>

<p>Jing Yu (ACO) : Fast Distributed Algorithm Conjecture for Lovasz Local Lemma</p>

<p>Shen Zhang (ML):&nbsp; Toward optimal multi-agent reinforcement learning: From consensus to policy evaluation</p>

<p>Mirabel Reid (CS): Graph Parameterization in the Assembly Model</p>

<p>Yiling Luo (OR) : Towards Understanding Statistical Properties of Model Parameters in Stochastic First Order Optimization Algorithms</p>

<p>Adam Brown (ACO) : Diverse Subset Selection</p>

<p>Mehrdad Ghadiri (ACO): Tall p-norm Regression in Input Sparsity Time</p>

<p>Qunzhi Xu (OR): Active Sequential Change-Point Detection Under Sampling Control</p>

<p>&nbsp;</p>

<p>The selection committee comprised of Greg Blekherman, Debankur Mukherjee, Sahil Singla, Mohit Singh and Santosh Vempala. Congratulations to the winners and look forward to great research from them!</p>
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      <value>2022-02-07T00:00:00-05:00</value>
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