DAY 1 – THURSDAY, OCTOBER 17th 2019
8:00 AM: Breakfast
8:45 AM: Welcome, Lab Overview, and How to Get the Most out of Camp (Professor Ion Stoica)
9:00 – 10:15 AM: Ray Core
9:00 AM: Ray Overview and Updates (Phillipp Moritz)
9:15 AM: Ray Core Lab Exercises
10:15 – 11:15 AM: Reinforcement Learning
10:15 AM: Reinforcement Learning Overview (Eric Liang)
10:30 AM: RLlib Lab Exercises
11:15 AM: Break
11:45 – 12:45 PM: Hyperparameter Tuning Tools
11:45 AM: Introduction to Hyperparameter Tuning (Richard Liaw)
12:00 PM: Tune Lab Exercises
12:45 PM: Lunch + TUTORIALS OFFICE HOURS
2:00 – 3:00 PM: Distributed DataFrames
2:00 PM: Introduction to the DataFrame and Modin (Devin Petersohn)
2:15 PM: Modin Exercises
3:00 – 4:00 PM: Program Synthesis for Data Manipulation
3:00 PM: Introduction to AutoPandas Project (Rohan Bavishi)
3:15 PM: AutoPandas Exercises
4:00 PM: Break
4:30 – 5:30 PM: Prediction Serving
4:30 PM: Evolution of Prediction Serving Work (Simon Mo)
4:45 PM: Prediction Serving on Ray and ModelZoo Demo (Rehan Durrani and Simon Mo)
5:30 – 9:00 PM: Reception + TUTORIALS OFFICE HOURS
DAY 2 – FRIDAY, OCTOBER 18th 2019
8:00 AM: Breakfast
9:00 – 11:00 AM: Security
9:00 AM: Secure Learning in the RISELab: Federation and Coopetition (Professor Raluca Ada Popa)
9:15 AM: A Platform for Coopetitive Machine Learning (Wenting Zheng)
9:45 AM: Introduction to Tutorial: Federated XGBoost (Rishabh Poddar)
10:00 AM: Tutorial: Federated XGBoost (Chester Leung and Rishabh Poddar)
11:00 AM: Break
11:30 AM: ERDOS: A Platform for Self-Driving Cars (Ionel Gog)
12:00 PM: Serverless (Vikram Sreekanti)
12:30 PM: Concluding Remarks (Professor Joseph Gonzalez)
12:45 PM: Event Survey
1:00 - 2:00 PM: Lunch
