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559 !
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Wed, 7/31/2019,
2:00 PM -
3:50 PM
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CC-301
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Randomized Algorithms for Optimization Problems in Statistics — Topic Contributed Papers
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Section on Statistical Learning and Data Science, IMS, Section on Statistical Computing
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Organizer(s): Miles Lopes, UC Davis
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Chair(s): Miles Lopes, UC Davis
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2:05 PM
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Statistical Properties of Stochastic Gradient Descent
Panagiotis Toulis, University of Chicago Booth School of Business; Jerry Chee, University of Chicago
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2:25 PM
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Randomized Sparse PCA Using the Variable Projection Method
N. Benjamin Erichson, Univ of California - Berkeley
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2:45 PM
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Randomized Linear Algebra and Its Applications in Second-Order Optimization and Deep Learning
Zhewei Yao, UC Berkeley
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3:05 PM
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Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Weijie Su, University of Pennsylvania
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3:25 PM
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Random Projections for Faster Non-Convex Optimization
Mert Pilanci, Stanford University
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