Thursday 22nd April 2021 2:30pm – 4.45pm
This is a Virtual Event – please register and instructions on how to join will follow closer to the event
We are amid an information revolution, where advances in science and technology, as well as the day-to-day 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
2.30 – 2.35 Welcome & Introduction to the workshop (Steve Roberts, OMI Director)
2.35 – 3.05 Derek Snow (The Alan Turing Institute & OMI Associate)
Adversaries for Machine Learning in Finance
3.05 – 3.10 Questions & discussion
3.10 – 3.40 Sam Kessler (OMI)
Continual Learning: from Reinforcement Learning to Self-Supervision
3.40 – 3.45 Questions & discussion
3.45 – 4.15 Blanka Horvath (Kings College London)
Data -Driven Market Simulators and their Model Governance
4.15 – 4.20 Questions & discussion
4.20 – 4.45 Discussion & networking