OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
Multi-armed bandits are a mathematical framework for studying sequential decision-making problems with partial feedback. Recommendation, personalization, hyperparameter tuning, and clinical trials are examples of application areas that use this framework. In this talk, I will introduce some basic algorithms for solving bandit problems and show applications of these algorithms to digital markets.