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The Alan Turing Institute

first floor British Library

96 Euston Road

London

NW1 2DB

United Kingdom

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This workshop will bring together experts to talk about advances in online learning, a framework in machine learning where data is made available in a sequential manner. This one-day workshop will focus on the underlying theory and the links with applications, and will feature four talks by leading international researchers.

This framework tackles problems where an agent must perform an action at any given time, based on historical data coming in a stream. It has connections to statistics, stochastic optimisation, computer science and game theory; in recent years, algorithms and models from this field have found numerous applications in online advertising, medical trials, and utility maximization.

The field has recently attracted a lot of attention with the successes of artificial intelligence in games. It is a natural setting to gain a meaningful theoretical understanding for several learning tasks, in settings that can be stochastic (performing well with random inputs) and adversarial (in a competition or with the presence of malicious users).

Confirmed speakers:

Sebastien Bubeck (Microsoft Research, USA)

Nicolò Cesa-Bianchi (University of Milan, Italy)

Remi Munos (Deepmind, UK)

Jacob Abernethy (Georgia Institute of Technology, USA)


For more details, visit our website.

If this event is sold out, please contact Quentin Berthet or Varun Kanade to attend.

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Date and Time

Location

The Alan Turing Institute

first floor British Library

96 Euston Road

London

NW1 2DB

United Kingdom

View Map

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