mlss-2019 / slides

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.