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SUMMARY:IDEAS/STAT Optimization Seminar: "Foundations of Deep Learning: Optimization and Representation Learning"
DESCRIPTION:Deep learning’s success stems from the ability of neural networks to automatically discover meaningful representations from raw data. In this talk\, I will describe some recent insights into how optimization enables this learning process. First\, I will show how optimization algorithms exhibit surprisingly rich dynamics when training neural networks\, and how these complex dynamics are actually crucial to their success – enabling them to find solutions that generalize well\, navigate challenging loss landscapes\, and efficiently adapt to local curvature. I will then explore how optimization enables neural networks to adapt to low-dimensional structure in the data\, how the geometry of the loss landscape shapes the difficulty of feature learning\, and how these ideas extend to in-context learning in transformers. \n  \nZoom link: https://upenn.zoom.us/j/93151261686 (Meeting ID: 931 5126 1686)
URL:https://seasevents.nmsdev7.com/event/ideas-stat-optimization-seminar-alexandru-damian/
LOCATION:Amy Gutmann Hall\, Room 414\, 3333 Chestnut Street\, Philadelphia\, 19104\, United States
CATEGORIES:Seminar,Colloquium
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