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<p>Dear all,</p>
<p>On Thursday (9 January) at 2pm in <span class="event-where">54 / 10037 (10B), we have an S3RI seminar from Theo Damoulas (University of Warwick) 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">Multiresolution Multitask Gaussian Processes: Air quality
in London</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 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">Multiresolution Multitask Gaussian Processes: Air quality in London
<br>
</span></p>
<p><span class="event-description">Theo Damoulas, University of Warwick <br>
</span></p>
<p><span class="event-description">We consider evidence integration from potentially dependent observation processes under varying spatio-temporal sampling resolutions and noise levels. We offer a multi-resolutio<wbr>n multi-task framework, termed MRGPs, while
allowing for both inter-task and intra-task multi-resolutio<wbr>n and multi-fidelity. We develop shallow Gaussian Process (GP) mixtures that approximate the difficult to estimate joint likelihood with a composite one and deep GP constructions that naturally
handle scaling issues and biases. By doing so, we generalize and outperform state of the art GP compositions and offer information-the<wbr>oretic corrections and efficient variational approximations for inference. We demonstrate the competitiveness of MRGPs
on synthetic settings and on the challenging problem of hyper-local estimation of air pollution levels across London from multiple sensing modalities operating at disparate spatio-temporal resolutions.</span></p>
<p><span class="event-description"><br>
</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%7Cb40b2a30eead44ca93e808d7927ead67%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=XqLluBmXHbtnjFJnxZ1c2MbCc%2FrFFIgjNN4Q8b5OwqM%3D&reserved=0" originalsrc="https://tinyurl.com/s3riseminar" shash="Pk7kuABHExLRLrSU5eb5ECuphcb+ZoLGWB/t/gXCNb4wv3fNtgRzsPrN55tT2x7Fq9cm55C0QmWZEvXylAvpcEwVc/4ExDgthU3XovlXZuPXtGxzIe6L85zZ2AkKXTWmwj9VNTjNwE042mTOrWbB2xeEN2QjdCF6YuoUp9Bj2W4=">
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>
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