Skip to main navigation Skip to main content
The University of Southampton
Turing @ Southampton

Workshop on Optimization & Machine Learning Event

Time:
09:00 - 18:00
Date:
18 October 2019
Venue:
Cinema room in Building 42 (Student's Union), University of Southampton, Highfield Campus

Event details

Optimization is a driving force behind the development of efficient tools for machine learning and data science. Considering the ever-growing number of challenges related to existing and new machine learning tools (e.g., deep learning, involved with highly nonconvex optimization problems) and complicated structures appearing in data sets, there is a need for optimization and machine learning experts to come together to address these issues, while anticipating on future ones. At the same time, to make sure that new solutions from the research community meet real-world demand, practitioners need to be involved in this effort. Hence, the OptML workshop aims to be a forum for optimization and machine learning experts (from both academia and industry) to discuss approaches to tackle optimization challenges in machine learning tasks and develop collaborations that will lead to new discoveries.

The event is sponsored by The Alan Turing Institute , and will feature invited talks from top machine learning and optimization experts, as well as practitioners from companies using and/or developing machine learning tools to solve real-world problems.

A poster session dedicated to algorithms and applications of machine learning will also take place during the workshop.

Participation is free, but the number of places is limited to 60 so please ensure you register your attendance.

You have the option to provide a title and abstract if you would like to present a poster.

Speakers

Organised by

Alain Zemkoho

Mahesan Niranjan

Houduo Qi

The first draft of the programme can be seen here . A draft of the handbook with details of the talks can be found here .

For more information regarding this event, please email optml@southampton.ac.uk.

Privacy Settings