Event schedule

January 4

Day 1
Welcome and opening remarks

Introduction to Machine Learning
  • Sara Hooker Google Brain

Lunch
Office Hours

Lab Session
Break

Social Event (Virtual)
Office Hours

January 5

Day 2
Math for Machine Learning
  • Carlos Fernandez Granda New York University

Lunch
Office Hours

Lab Session
Break

Panel: Building a Career in ML
  • Sara Hooker Google Brain

  • Pablo Samuel Castro Google Brain

  • Chris Albon Wikimedia Foundation

  • Marianne Monteiro DeepMind

Office Hours

January 6

Day 3
Introduction to Deep Learning - I
  • Naila Murray Facebook AI Research

Lunch
Office Hours

Lab Session
Break

Panel: Failing at AI
  • Akash Srivastava MIT-IBM Lab

  • Siddharth Srivastava Centre for Development of Advanced Computing

  • Jaan Altosaar Columbia University

  • Veronika Cheplygina ITU Copenhagen

Office Hours

January 7

Day 4
Introduction to Deep Learning - II
  • Rosanne Liu ML Collective

Lunch
Office Hours

Lab Session
Break

Panel: Next Steps in AI (unrecorded)
Office Hours

January 8

Day 5
Bayesian Machine Learning
  • Andrew G. Wilson New York University

Reinforcement Learning
  • Lerrel Pinto New York University

Break

Fairness and Transparency
  • Jennifer Wortman Vaughan Microsoft Research

Break

Office Hours