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1:05:56
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Centre International de Rencontres Mathématiques
Alexandra Carpentier: Challenges in unsupervised learning: statistical-computational trade-offs 1/2
Unsupervised learning is a central challenge in artificial intelligence, lying at the intersection of statistics and machine learning. The goal is to uncover patterns in unlabelled data by designing learning algorithms that are both computationally efficient that is, run in polynomial time and statistically effective, meaning they minimize a ...
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