Recent and Upcoming Seminars

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Alexandra (Sasha) Luccioni, University of Montreal and Mila (Quebec Institute for Learning Algorithms)

Kate Rakelly, University of California Berkeley

Ollie Hamelijnck, The Alan Turing Institute, London

Prof Christoph Lampert, Institute of Science and Technology Austria


A regular blog series from the Machine Learning Research Network

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I dare to say there is no other Machine Learning technique as relevant to life as Reinforcement Learning.1 It is not only its origin: Reinforcement Learning is rooted in psychology experiments; but also, the fact that Reinforcement Learning ideas can be found in philosophical documents since at least the time of Plato. Even today, Reinforcement Learning tells us - or tells me - how we can achieve happiness. If you think I am biased, I am absolutely fine with it.


Join us to celebrate the launch of the new Machine Learning Research Network, with an inaugural lecture by Prof Neil Lawrence, director of Machine Learning at Amazon Research Cambridge and Professor of Machine Learning at the University of Sheffield. The lecture will be followed by a networking reception with drinks and nibbles.


In the interest of fostering an open and welcoming environment, we are seeking to make participation in the network a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. To this end, the code of conduct for participating members of the network is defined here. Members are expected to follow the code of conduct, whether in contribution or attendance.


Introducing the new Machine Learning Research Network: a forum for connecting researchers and students working in or with machine learning at the University of Sheffield, to provide a support network and foster collaboration.