12:00 PM UTC -- Introduction and opening remarks. Workshop organizers.
12:10 PM UTC -- Invited talk: "Deploying Machine Learning Models in a Developing World Context", Ernest Mwebaze
12:55 PM UTC -- Invited talk: "System-wide Monitoring Architectures with Explanations ", Leilani Gilpin
01:40 PM UTC - 01:50 PM UTC-- BREAK
01:50 PM UTC -- Invited talk: "Bridging the gap between research and production in machine learning", Chip Huyen
02:20 PM UTC - 03:40 PM UTC -- Contributed talks
02:20 PM UTC -- "Monitoring and explainability of models in production", Klaise
02:30 PM UTC -- "Gradient-Based Monitoring of Learning Machines", Liu
02:40 PM UTC -- "Not Your Grandfather's Test Set: Reducing Labeling Effort for Testing", Taskazan
02:50 PM UTC -- "Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models", Anthony
03:00 PM UTC -- "Serverless inferencing on Kubernetes", Cox
03:10 PM UTC -- "Do You Sign Your Model?", Aramoon
03:20 PM UTC -- "PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks", Chin
03:30 PM UTC -- "Technology Readiness Levels for Machine Learning Systems ", Lavin
03:40 PM UTC -- Virtual Poster session
04.20 PM UTC - 4.30 PM UTC -- BREAK
4:30 PM UTC -- Open problems: panel discussion
Chairs: Alessandra Tosi, Nathan Korda
Panelists (problem descriptions available here):
Zhenwen Dai (Spotify): Model Selection for Production Systems
Erick Galinkin (Montreal AI Ethics Institute and Rapid7): Green Lighting ML
Camylle Lanteigne (MAIEI and McGill University): SECure: A Social and Environmental Certificate for AI Systems
Deploy machine learning models serverlessly at scale
Yuzhui Liu (Bloomberg): Deploy machine learning models serverlessly at scale
Alexander Lavin (Augustus Intelligence): ML lacks the formal processes and industry standards of other engineering disciplines.
Alexander Lavin (Augustus Intelligence): Approaches to AI ethics must consider second-order effects and downstream uses, but how?
05:30 PM UTC - 06:00 PM UTC -- BREAK
6:00 PM UTC -- Invited talk: "Successful Data Science in Production Systems: It’s All About Assumptions", Nevena Lalic
6:45 PM UTC -- Invited talk: "Conservative Exploration in Bandits and Reinforcement Learning", Mohammad Ghavamzadeh
7:30 PM UTC -- Panel discussion
Chair: TBA
Panelists: Ernest Mwebaze, Leilani Gilpin, Nevena Lalic, Mohammad Ghavamzadeh.
8:30 PM UTC -- Final remarks. Workshop organizers.
8:35 PM UTC -- End of the day