ACAIA

2017

Agenda

San Jose, Nov 9th, 2017

* This is only a tentative schedule and may change as the date approaches.


8:30 am: Continental Breakfast

9:00 am: Welcome and Overview

Tutorials

  1. 9:10 am - 10:00 am: Fundamentals of Approximate Data Analytics, Barzan Mozafari (University of Michigan, Ann Arbor)
  2. 10:10 am - 11:00 am: New Opportunities Enabled by Approximate Computing, Surajit Chaudhuri (Microsoft)

11:00 am - 11:15 am: Coffee Break

Hands-on Sessions

  1. 11:15 am - 11:35 am: Verdict: Platform-independent Approximation, Yongjoo Park (University of Michigan, Ann Arbor)
  2. 11:35 am - 11:55 am: Approximate Computing in Azure SQL Database, Srikanth Kandula (Microsoft)

12:15 pm - 1:45 pm: Lunch

Keynotes

  1. 1:45 pm - 2:30 pm: Approximate Machine Learning and Feature Engineering, Christopher RĂ© (Stanford)
  2. 2:30 pm - 3:15 pm: Approximate Data Cleaning and ETL, Joseph M. Hellerstein (UC Berkeley)

3:15 pm - 3:30 pm: Coffee Break

Break-out Session

  1. 3:30 pm - 4:30 pm: Break-out / Discussion
  2. 4:30 pm - 5:30 pm: Feedback / Panel session

5:30 pm: Closing Remarks

6:00 pm: Adjourn / Light Dinner