<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head>
<body text="#000000" bgcolor="#FFFFFF">
<p>Dear all,</p>
<p>On Thursday (17 October) at 2pm in <span class="event-where">54 / 10037 (10B), we have an S3RI seminar from Dennis Prangle (Newcastle University) on
</span><span class="event-where"><span class="event-description">"</span></span><span class="event-where"><span class="event-description"><span class="event-description"><span class="event-description">Towards high dimensional Bayesian experimental design using
the "Fisher information gain</span></span>"". Details are given below.<br>
</span></span></p>
<p><span class="event-where"><span class="event-description"><span><span class="event-description">The seminar will also be available via a live web-cast at</span></span></span></span><br>
<a class="moz-txt-link-freetext" href="https://southampton.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=73ef86af-ec8b-4c10-8771-aae600760bea">https://southampton.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=73ef86af-ec8b-4c10-8771-aae600760bea</a>
<style type="text/css">p { margin-bottom: 0.25cm; line-height: 115%; }</style><br>
</p>
<p><span class="event-where"><span class="event-description"><span><span class="event-description">The talk will be followed by tea and cake in the staff reading room on level 4 of building 54. </span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span><span class="event-description">All are welcome!</span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Best wishes,</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
<p><span class="event-description">Towards high dimensional Bayesian experimental design using the "Fisher information gain"
<br>
</span></p>
<p><span class="event-description">Dennis Prangle, Newcastle University <br>
</span></p>
<p><span class="event-description">Finding high dimensional experimental designs is computationally demanding. We introduce an efficient approach applying recent advances in stochastic gradient optimisation methods. To allow rapid gradient calculations we work
with a computationally convenient utility function, the trace of the Fisher information. One part of this talk will describe a decision theoretic justification for this utility. The other will demonstrate its application to experimental design.</span></p>
<span class="event-where"><span class="event-description"><span><span class="event-description"><span><span class="event-description"></span><span class="event-description"><span class="event-description">For the current schedule of S3RI seminars, see
<a class="moz-txt-link-freetext" href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftinyurl.com%2Fs3riseminar&data=01%7C01%7C%7C70338e97423e484d4be108d75075f036%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=uYvpvezMn9982fZon2uaHwBA8%2Fnghcy0rQ2An9judsk%3D&reserved=0" originalsrc="https://tinyurl.com/s3riseminar" shash="Ibpk64lFSCIbIn0i0Vuz4iUDKxX/Opm26zFTxk3sITH8SOnU1kGLzzJiOnhfefRcdBhmYAl4M22+xVZkyH4oatCNKGA7cOtZke/BN8PYCN9zvbOHo9XhKBPEvhl07R2cQWqNv/VUsjqGpX4jfPuefp1iIpwOAUMp0oEEcQZCbsY=">
https://tinyurl.com/s3riseminar</a> </span></span></span></span></span></span></span><br>
<p><span class="event-where"><span class="event-description"><span><span class="event-description"></span></span></span></span></p>
</body>
</html>