Mark Schmidt

LMB_MarkSchmidt

Appointment

  • Associate Fellow
  • Learning in Machines & Brains

Institution

  • University of British Columbia
Department of Computer Science

Country

  • Canada

Education

PhD, University of British Columbia
MSc, University of Alberta

About

Mark Schmidt’s research focuses on developing faster algorithms for large-scale machine learning, with an emphasis on methods with provable convergence rates and which can be applied to structured prediction problems.

From 2011 through 2013 he worked at the École normale supérieure in Paris on inexact and stochastic convex optimization methods. He has also worked on the Brain Tumor Analysis Project; on graphical model structure learning with L1-regularization; at Siemens Medical Solutions on heart motion abnormality detection; with Michael Friedlander in the Scientific Computing Lab at the University of British Columbia on semi-stochastic optimization methods; and with Anoop Sarkar at Simon Fraser University on large-scale training of natural language models.

Connect

Website