Wouter Koolen | Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression ---- Dieuleveut, Flammarion, Bach

This will be the first Spring 2017 meeting of the CWI ML reading group. This paper is about first order algorithms (no inverse of no matrix) for stochastic least-squares regression that achieve the correct rate in terms of noise (d/n) and initial conditions (n^-2).
  • When Mar 09, 2017 from 11:00 AM to 01:00 PM (Europe/Amsterdam / UTC100)
  • Where CWI, L236
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Full paper here.