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35 events found.
Events
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Dear Colleagues, The Stimulating Collaborative Advances Leveraging Expertise in the Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL) Management Team representing several NSF Divisions, including MPS/DMS, will be hosting a webinar scheduled for March 5, 2021 starting at 1:00 PM Eastern Time. This is following up on the message we sent about last week regarding the […] |
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ZoomID: https://cuboulder.zoom.us/j/96007553384 Password:i-aim Arun Kumar, UCSD "Cerebro: A Layered Data Platform for Scalable Deep Learning" Abstract: Deep learning (DL) is gaining popularity across many domains thanks to tools such as TensorFlow and easier access to GPUs. But building large-scale DL applications is still too resource-intensive and painful for all but the big tech firms. A key […] |
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Title: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate HDSI Seminar Series Quanquan Gu, Assistant Professor of Computer Science at UCLA Abstract: Understanding the algorithmic bias of stochastic gradient descent (SGD) is one of the key challenges in modern machine learning and deep learning theory. Most of the existing works, however, focus […] |
1 event,Zoom ID: https://cuboulder.zoom.us/j/2251625831 Password: i-aim Yannis Kevrekidis, Johns Hopkins University "Manifold Learning for Free Energy Surface Exploration" Abstract: TBA About the Speaker: TBA |
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