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  <title><![CDATA[ARC Colloquium: Lap Chi Lau (Waterloo)]]></title>
  <body><![CDATA[<p align = "center"><strong>Algorithms &amp; Randomness Center (ARC)</strong></p>

<p align = "center"><strong>Lap Chi Lau</strong></p>

<p align = "center"><strong>Monday, October 15, 2018</strong></p>

<p align = "center"><strong>Klaus 1116 East &ndash; 11:00 am</strong></p>

<p>&nbsp;</p>

<p><strong>Title:&nbsp; </strong>The Paulsen problem, continuous operator scaling, and smoothed analysis</p>

<p><strong>Abstract:</strong>&nbsp; The&nbsp;Paulsen&nbsp;problem is a basic open problem in operator theory.&nbsp; We define&nbsp;a continuous version of the operator scaling algorithm to solve this problem.&nbsp; A key step is to show that the continuous operator scaling algorithm converges faster in a perturbed input. To this end, we develop some new techniques in lower bounding the operator capacity, a concept introduced by Gurvits to analyze the operator scaling algorithm.&nbsp; The talk will be self-contained.&nbsp; &nbsp;Joint work with Tsz Chiu Kwok, Yin Tat Lee, and Akshay Ramachandran.</p>

<p>----------------------------------</p>

<p><a href="https://cs.uwaterloo.ca/~lapchi/">Speaker&#39;s Webpage</a></p>

<p><em>Videos of recent talks are available at: </em><a href="https://smartech.gatech.edu/handle/1853/46836"><em>https://smartech.gatech.edu/handle/1853/46836</em></a></p>

<p><a href="https://mailman.cc.gatech.edu/mailman/listinfo/arc-colloq"><em>Click here to subscribe to the seminar email list: arc-colloq@cc.gatech.edu </em></a></p>
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