Workshop Program

Session 1

08:00 - 08:50 (California) | 15:00 - 15:50 (UTC) | 00:00 - 00:50 (+1) (Japan) | Keynote 1 (50 min)

  • Oracle Autonomous DB: Challenges and Some Solutions. Andrew Witkowski, Rafi Ahmed & Murali Thiyagarajan (Oracle) [youtube-part1] [youtube-part2]

09:00 - 10:00 (California) | 16:00 - 17:00 (UTC) | 01:00 - 02:00 (+1) (Japan) | Research Talks (20 min each)

  • The Case for Learned Spatial Indexes. Varun Pandey (Technical University of Munich); Alexander van Renen (TUM); Andreas Kipf (MIT); Jialin Ding (MIT); Ibrahim Sabek (MIT); Alfons Kemper (TUM) [paper] [youtube]

  • It’s AI match: Using Embeddings for Semi-Supervised Schema Matching. Benjamin Hättasch (TU Darmstadt); Michael Truong-Ngoc (TU Darmstadt); Andreas Schmidt (KIT); Carsten Binnig (TU Darmstadt) [paper] [youtube]

  • ML Based Provenance in Databases. Michael Leybovich (Technion – Israel Institute of Technology, Computer Science Department); Oded Shmueli (Computer Science Department, Technion) [paper] [youtube]

10:10 - 11:00 (California) | 17:10 - 18:00 (UTC) | 02:10 - 03:00 (+1) (Japan) | Keynote 2 (50 min)

  • Practical use of machine Learning in Amazon Redshift. Ippokratis Pandis (AWS)

Session 2

14:00 - 15:20 (California) | 21:00 - 22:20 (UTC) | 06:00 - 07:20 (+1) (Japan) | Research Talks (20 min each)

  • Hands-off Model Integration in Spatial Index Structures. Ali Hadian (Imperial College London); Ankit Kumar (IIT Delhi); Thomas Heinis (Imperial College) [paper] [youtube]

  • MADEX: Learning-augmented Algorithmic Index Structures. Ali Hadian (Imperial College London); Thomas Heinis (Imperial College) [paper] [youtube]

  • A simple and effective predictive resource scaling heuristic for large-scale cloud applications. Quentin Rebjock (AWS); Valentin Flunkert (Amazon); Tim Januschowski (Amazon); Laurent Callot (Amazon research); Joel Castellon (Amazon Research) [paper] [youtube]

  • Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning. Chi Zhang (Brandeis university); Ryan C Marcus (MIT); Anat Kleiman (Brandeis University); Olga Papaemmanouil (Brandeis University) [paper] [youtube]

15:30 - 16:20 (California) | 22:30 - 23:20 (UTC) | 07:30 - 08:20 (+1) (Japan) | Keynote 3 (50 min)

  • Towards Learned Algorithms, Data Structures, and Systems. Tim Kraska (MIT)

16:30 - 17:30 (California) | 23:30 - 00:30 (+1) (UTC) | 08:30 - 09:30 (+1) (Japan) | Invited Talks (20 min each)

  • Autonomous Index Tuning. Bailu Ding (Microsoft Research) [youtube]

  • Self-supervised learning for cardinality estimation. Zongheng Yang (UC Berkeley) [youtube]

  • Towards the Real-World AI Applications Deployment: Feature Engineering and Database. Taize Wang (4Paradigm) [youtube]