Attending NeurIPS 2019

My summary of attending NeurIPS 2019.

1. Overview

• Links: conference website, videos & slides
• Location: Vancouver Convention Center, Vancouver, Canada
• Attendees: Over 13,000

• Schedule:

  Dec 8 (Sun)	Dec 9 (Mon)	Dec 10 (Tue)–12 (Thu)	Dec 13 (Fri), 14 (Sat)
  Expo (Industry)	Tutorials	Conference Sessions	Workshops

2. Trends

• Interpretable deep learning
• Deep learning with Bayesian methods
• Graph neural networks
• Convex optimization
• Neuroscience and machine learning

Reference: Key trends from NeurIPS 2019 by Chip Huyen (Chinese version)

3. My Focuses

• Bayesian Methods and Deep Learning
  • Deep Learning with Bayesian Principles (Tutorial, Dec 9)
  • Bayesian Deep Learning (Workshop, Dec 13)
• Machine Learning for Biology
  • Machine Learning for Computational Biology and Health (Tutorial, Dec 9)
  • Machine Learning Meets Single-Cell Biology: Insights and Challenges (Invited Talk, Dec 10)
  • Applications: Computational Biology and Bioinformatics (Posters, Dec 12)
  • Machine Learning for Health (ML4H): What Makes Machine Learning in Medicine Different? (Workshop, Dec 13)
  • Learning Meaningful Representations of Life (Workshop, Dec 13)
  • Machine Learning in Computational Biology (Workshop co-located with NeurIPS, Dec 14)