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Time: The next frontier in Machine Learning
In this talk, I aim to illuminate the underemphasized yet critical dimension in machine learning: time. I contend that time harbors the potential to revolutionize machine learning methodologies and their applications in numerous domains from healthcare to engineering to finance. This presentation underscores the opportunities and challenges that emerge from integrating temporal dynamics into machine learning models, enriching prediction accuracy, inference robustness, causality, and conceptual understanding.
Date:
22 January 2024, 14:00
Venue:
24-29 St Giles', 24-29 St Giles' OX1 3LB
Venue Details:
Large Lecture Theatre
Speaker:
Professor Mihaela van der Schaar, (University of Cambridge)
Part of:
OxWoCS Seminar Series
Booking required?:
Recommended
Booking url:
https://forms.office.com/e/Az5r1xVA4b
Audience:
Public
Editor:
Nele Quast
