Seminar - Michael Friedlander
Data Fitting and Optimization With Randomized Sampling
Speaker: | Michael Friedlander |
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Affiliation: | University of British Columbia |
Room: | Mathematics and Computer Building (MC) 5168 |
Abstract:
For many structured data-fitting applications, stochastic gradient methods offer inexpensive iterations by sampling only subsets of the data. They make great progress initially, but eventually stall.