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Stochastic approximation with heavy tailed noise

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  • UserVivek Borkar (Indian Institute of Technology Bombay)
  • ClockThursday 25 April 2024, 11:45-12:30
  • HouseExternal.

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TMLW02 - SGD: stability, momentum acceleration and heavy tails

This talk will first review the so-called `ODE’ (for `Ordinary Differential Equations’) approach for the analysis of stochastic approximation algorithms of which stochastic gradient descent is a special case. Using that as a backdrop, certain analogous results will be presented for a class of algorithms with heavy tailed noise. This is joint work with V. Anantharam of Uni. of California at Berkeley.    

This talk is part of the Isaac Newton Institute Seminar Series series.

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