Speakers: Carl Benedikt Frey, Economist, Oxford In the very first DLD Sync Carl Benedikt Frey talks with DLD journalist Karsten Lemm about the Future of work in times of the Corona crisis. The DLD Conference channel features all talks held at past conferences and our digital format DLD Sync as well as the highlights of our events. As an interactive webcast, DLD Sync is your direct connection to outstanding DLD speakers, allowing you to get inspired by our community’s brightest minds. DLD Sync thrives on your participation, so please tune in live for the upcoming Syncs and ask questions! For news, upcoming events and more interesting topics make sure to also visit: DLD Website: https://dld-conference.com DLD on Instagram: https://instagram.com/dldconference/ DLD on Twitter: https://twitter.com/dldconference DLD on Facebook: https://facebook.com/DLDconference/
Abstract: Probabilistic numerics provides a narrative to extend our traditional approach of uncertainty about data to uncertainty about computations. In this talk I will provide a brief background to Probabilistic numerics and show why it is beneficial to think about Bayesian optimisation and other active learning techniques within this framework. In specific I will show how these guiding principles have allowed us to formulate a set of surrogate models that allows us to focus on details that are informative for search while ignoring detrimental structures that are challenging to model from few observations. We will show how this leads to a significantly more robust and efficient active learning loop. Preprints: The talk is primarily based on Bodin, E., Kaiser, M., Kazlauskaite, I., Dai, Z., Campbell, N. D. F., & Ek, C. H., Modulating surrogates for bayesian optimization., In , Proceedings of the 37th International Conference on Machine Learning, {ICML} 2019, 12-18 July 2020, Virtual (pp. ) (2020). Speaker: Dr. Carl Henrik Ek is a senior lecturer at the University of Cambridge. Together with Prof. Neil Lawrence, Jessica Montgomery and Dr. Ferenc Huzar he leads the newly formed machine learning research group in the Cambridge computer lab. He is interested in building models that allows for principled treatment of uncertainty that provides interpretable handles to introduce strong prior knowledge. Personal website can be found at http://carlhenrik.com/. This talk was given at Secondmind Labs, as a part of our (virtual) research seminar. Our research seminar is where we exchange ideas with guest [More]
The sixth interview of the series features Martin Ford (Futurist and Author), Carl Benedikt Frey (University of Oxford), & Joshua Gans (University of Toronto), who will discuss how technological progress has historically and is currently affecting our economy, especially focusing on the labour-market. Will this be different for the currently disruptive technologies, especially AI and robotics, and if so, how? How should we interpret predictions about future progress in AI, such as when we’ll have self-driving cars? What can we learn about history and models from how AI and robotics will change our economy and labour-market? What should we change in our economics education related to this topic? This interview was recorded on 10th of September 2020. All dates referring to “next year” refer to 2021. Our website with all previous interviews: https://www.rethinkingeconomics.nl/ai-lecture-series YouTube: https://youtu.be/MsKpQI8U69w Anchor: https://anchor.fm/rethinking-economics-nl Breaker: https://www.breaker.audio/rethinking-podcast Google Podcasts: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy8zMWExZjZmNC9wb2RjYXN0L3Jzcw== Apple Podcasts: https://podcasts.apple.com/us/podcast/rethinking-podcast/id1529734296?uo=4 Spotify: https://open.spotify.com/show/0NPRyHrhnoI6Ktb3ZH0WL8 Pocket Casts: https://pca.st/pm2w3wm2 RadioPublic: https://radiopublic.com/rethinking-podcast-WkRP0X Overcast: https://overcast.fm/itunes1529734296/rethinking-podcast
Machine Learning Tutorial at Imperial College London: Bayesian Nonparametrics and Priors over Functions Carl Henrik Ek (University of Bristol) November 22, 2017
Carl Henrik Ek is a Senior Lecturer in Computer Science at the University of Bristol, UK. In his entertaining and informative manner, he peels back the hype from deep learning and machine learning and looks at what is really going on under the hood. For more information and the slides of this talk, take a look at our resource page: https://clusterone.com/webinars/coffee-clusterone-carl-henrik-ek-learning-from-data
Carl Henrik gives us a fascinating talk about human beings’ ability to reason under uncertainty and his view on intelligence. He tells us about the beauty and strengths of human intelligence in comparison to that of machines. What makes human intelligence unique and what are the strengths in our thinking and reasoning? And how can we use it and preserve it for better and more efficient purposes? Carl Henrik Ek is an assistant professor in Computer Science at KTH. His research is in the field of Machine Learning. As a lecturer he was recently given the award of teacher of the year at KTH. Carl Henrik did his doctoral studies at Oxford Brookes University and the University of Manchester and his postdoctoral research at UC Berkley. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx