Lenka Zdeborová (EPFL)
This talk will be held virtually and will be live streamed on our website. Full participation (including the capacity to ask questions) will be available via Zoom webinar. Zoom link: https://berkeley.zoom.us/j/97166437509.
Gradient descent algorithms and their noisy variants, such as the Langevin dynamics or multipass stochastic gradient descent, are at the center of attention in machine learning. Yet their behavior remains perplexing, in particular in the high-dimensional nonconvex set
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