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Optimizing for Generalization in Machine Learning

CORDIS · observation · Publication date unknown

Optimizing for Generalization in Machine Learning Recent advances in the field of machine learning (ML) are revolutionizing an ever-growing variety of domains, ranging from statistical learning algorithms in computer vision and natural language processing all the way to reinforcement learning algorithms in autonomous driving and conversational AI. However, many of these breakthroughs demonstrate phenomena that lack explanations, and sometimes even contradict conventional wisdom. Perhaps the greatest mystery of modern ML---and arguably, one of the greatest mysteries of all of modern computer science---is the question of generalization: why do these immensely complex prediction rules successfully apply to future unseen instances? Apart from the pure scientific curiosity it stimulates, I believe that this lack of understanding poses a significant obstacle to widening the applicability of ML to critical applications, lik

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recordType

award

status

SIGNED

region

EU

value

1494375

unit

EUR