We are amid an information revolution, where advances in science and technology, as well as the day-today operation of successful organisations and businesses, are increasingly reliant on the analysis of data. Driving these advances is a deluge of data, which is outstripping the increase in computational power available to process it. Research in machine learning, AI & data science is already transforming our ability to work with large amounts of complex information. Over the next few years these trends will revolutionise how we think about data, how we process and visualise it, and how we put it to use.


Schedule of talks

2.00 – 2.10 Welcome & Introduction to the workshop (Steve Roberts, OMI Director)

2.10 – 2.50 Alessandro Abate (Computer Science & OMI)

Logically-guided Reinforcement Learning

2.50 – 3.30 Anup Aprem (Engineering Science)

Bayesian learning in games: Problems in pricing and oligopolies.

3.30 – 4.00 Discussion & coffee/tea break

4.00 – 4.40 Mike Rabbat (Facebook AI Research)

Efficient, scalable decentralized learning with gossip algorithms

4.40 – 5.30 Discussion, networking, drinks and canapés (kindly sponsored by Man/AHL)