The goal of this event is to bring together colleagues interested in optimisation by quantum and machine learning at Imperial College.
This workshop is supported by the DQC-App project.
Program (tentative)
1:00 - 1:30 Sandwich Lunch
1:30 - 2:00 Prof Thomas Parisini (EEE) -
Title: "Distributed approximate uniform global minimum sharing" - abstract
♦ slides
2:00 - 2:30 Dr Anastasia Borovykh (Mathematics and Imperial-X) -
Title: "On optimal datapoint selection for efficient learning" - abstract
2:30 - 3:00 Dr Panos Parpas (Computing) -
Title: "Recent developments in large scale optimisation"- abstract
♦ slides
3:00 - 3:30 Dr Chrysoula Kappatou (Computing) -
Title: "On global optimization of data-driven models" - abstract
3:30 - 4:00 Coffee/Tea Break
4:00 - 4:30 Dr Stefan Vlaski (EEE) -
Title: "Learning in heterogeneous networks" - abstract
♦ slides
4:30 - 5:00 Dr Dario Paccagnan (Computing) -
Title: "Robust labour planning in delivery networks" - abstract
5:00 - 5:30 Prof Kin Leung and
Zheyu (Joe) Chen (EEE and Computing) -
Title: "Optimisation by machine learning" - abstract
♦ slides