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Andrew Foong Yue Kwang | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/andrew-foong-yue-kwang/10 Apr 2024: Search. Andrew Foong Yue Kwang. Andrew is a PhD student in the Machine Learning Group supervised by Dr Richard Turner, starting in October 2018. He received his BA and MEng in Information and Computer Engineering from the Cambridge University -
José Miguel Hernández Lobato | Cambridge Machine Learning Group
https://mlg.eng.cam.ac.uk/people/jose-miguel-hernandez-lobato/10 Apr 2024: Search. José Miguel Hernández Lobato. Since Sep 2016, I am a University Lecturer (equivalent to US Assistant Professor) in Machine Learning at the Department of Engineering in the University of Cambridge, UK. I was before a postdoctoral fellow in -
https://mlg.eng.cam.ac.uk/news/index.xml
https://mlg.eng.cam.ac.uk/news/index.xml10 Apr 2024: Mukuta, <a href="http://www.kecl.ntt.co.jp/people/kimura.akisato/" target="_blank" rel="noopener"Akisato Kimura</a, D. B Adrian, <a href="http://mlg.eng.cam.ac.uk/zoubin/" ... Gummadi and <a href="http://mlg.eng.cam.ac.uk/adrian" target="_blank" -
Natural-Gradient Variational Inference 2: ImageNet-scale · Cambridge…
https://mlg.eng.cam.ac.uk/blog/2021/11/24/ngvi-bnns-part-2.html12 Apr 2024: This is despite using speed-up tricks (Goodfellow, 2015). The similarities in the equations indicate that we might be able to take techniques people use to scale Adam up to large -
Bayesian Deep Learning via Subnetwork Inference · Cambridge MLG Blog
https://mlg.eng.cam.ac.uk/blog/2021/07/21/subnetwork-inference.html12 Apr 2024: Of course, in larger-scale settings, a full-covariance Gaussian would be intractable, so people often resort to diagonal approximations which assume full independence between the weights (Figure 7, top right). -
https://mlg.eng.cam.ac.uk/blog/feed.xml
https://mlg.eng.cam.ac.uk/blog/feed.xml12 Apr 2024: Jekyll 2024-04-12T16:32:5900:00 https://mlg.eng.cam.ac.uk/blog/feed.xml MLG Blog Blog of the Machine Learning Group at the University of Cambridge An introduction to Flow Matching 2024-01-20T00:00:0000:00 2024-01-20T00:00:0000:00
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