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All Projects → mlss-2019 → slides

mlss-2019 / slides

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Table of Contents

  1. Contributions

Contributions

The material of each directory is attributed to the following people, ordering is arbitrary

  • deep_learning: Kevin Webster, Pierre Harvey Richemond, Kai Arulkumaran
  • optimisation: John Duchi
  • variational_inference: Shakir Mohamed
  • reinforcement_learning: Katja Hofmann
  • gaussian_processes: James Hensman
  • kernels: Lorenzo Rosasco
  • mcmc: Michael Betancourt
  • approximate_bayesian_computation: Sarah Filippi
  • speech_processing: Karen Livescu
  • ml_in_comp_biology: Barbara Engelhardt
  • fairness: Timnit Gebru
  • interpretability: Sanmi Koyejo
  • learning_theory: Samory Kpotufe
  • submodular: Stefanie Jegelka

Alternatively you can get the biographies here.

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