Friday, August 20, 2021, Copenhagen, Denmark

Authors will participate in the Q&A session even if the talk is pre-recorded.

Session 1

10:00am-11:00am Copenhagen | 4:00am-5:00am New York | 1:00am-2:00am San Francisco | 4:00pm-5:00pm Beijing

Keynote: Stratos Idreos (Harvard University) [pre-recorded]

11:00am-11:20am Copenhagen | 5:00am-5:20am New York | 2:00am-2:20am San Francisco | 5:00pm-5:20pm Beijing

The Case for ML-Enhanced High-Dimensional Indexes. Rong Kang (Tsinghua University, China); Wentao Wu (Microsoft Research); Chen Wang (Tsinghua University, China); Ce Zhang (ETH); Jianmin Wang (Tsinghua University, China) [pre-recorded]

11:20am-11:40am Copenhagen | 5:20am-5:40am New York | 2:20am-2:40am San Francisco | 5:20pm-5:40pm Beijing

Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm. YoungJoon Park (Seoul National University); Dongkyu Lee (Seoul National University); Tien-Cuong Bui (Seoul National University) [pre-recorded]

11:40am-12:00pm Copenhagen | 5:40am-6:00am New York | 2:40am-3:00am San Francisco | 5:40pm-6:00pm Beijing

ASET: Ad-hoc Structured Exploration of Text Collections. Benjamin Hättasch (TU Darmstadt); Jan-Micha Rainer Bodensohn (Technische Universität Darmstadt); Carsten Binnig (TU Darmstadt) [on live]

Session 2

13:30pm-14:00pm Copenhagen | 7:30am-8:00am New York | 4:30am-5:00am San Francisco | 7:30pm-8:00pm Beijing

Invited talk: Guoliang Li (Tsinghua University) [on live]

14:00pm-14:30pm Copenhagen | 8:00am-8:30am New York | 5:00am-5:30am San Francisco | 8:00pm-8:30pm Beijing

Invited talk: Charles Xie and Xiaomeng Yi (Zilliz Inc.) [pre-recorded]

14:30pm-14:50pm Copenhagen | 8:30am-8:50am New York | 5:30am-5:50am San Francisco | 8:30pm-8:50pm Beijing

Towards Practical Learned Indexing. Mihail M Stoian (TUM); Andreas Kipf (MIT); Ryan C Marcus (MIT); Tim Kraska (MIT) [pre-recorded]

14:50pm-15:10pm Copenhagen | 8:50am-9:10am New York | 5:50am-6:10am San Francisco | 8:50pm-9:10pm Beijing

When Are Learned Models Better Than Hash Functions? Ibrahim Sabek (MIT); Kapil Vaidya (MIT); Dominik Horn (TUM); Andreas Kipf (MIT); Tim Kraska (MIT) [??]

15:10pm-15:30pm Copenhagen | 9:10am-9:30am New York | 6:10am-6:30am San Francisco | 9:10pm-9:30pm Beijing

Bounding the Last Mile: Efficient Learned String Indexing. Benjamin Spector (MIT); Andreas Kipf (MIT); Kapil Vaidya (MIT); Chi Wang (Microsoft Research); Umar Farooq Minhas (Microsoft Research); Tim Kraska (MIT) [on live]

Session 3

16:00pm-17:00pm Copenhagen | 10:00am-11:00am New York | 7:00am-8:00am San Francisco | 10:00pm-11:00pm Beijing

Keynote: Andy Pavlo (Carnegie Mellon University and OtterTune Inc.) [on live]

17:00pm-17:20pm Copenhagen | 11:00am-11:20am New York | 8:00am-8:20am San Francisco | 11:00pm-11:20pm Beijing

Defeating duplicates: A re-design of the LearnedSort algorithm. Ani Kristo (Brown University); Kapil Vaidya (MIT); Tim Kraska (MIT) [pre-recorded]

17:20pm-17:40pm Copenhagen | 11:20am-11:40am New York | 8:20am-8:40am San Francisco | 11:20pm-11:40pm Beijing

Cardinality Estimation: Is Machine Learning a Silver Bullet? Beibin Li (University of Washington); Yao Lu (Microsoft Research); Chi Wang (Microsoft Research); Srikanth Kandula (Microsoft Research) [on live]

17:40pm-18:00pm Copenhagen | 11:40am-12:00pm New York | 8:40am-9:00am San Francisco | 11:40pm-12:00am Beijing

Finding Label and Model Errors in Perception Data With Learned Observation Assertions. Daniel Kang (Stanford University); Nikos Arechiga (Toyota Research Institute); Sudeep Pillai (TRI); Peter D Bailis (Stanford University); Matei Zaharia (Stanford and Databricks) [pre-recorded]

18:00pm-18:30pm Copenhagen | 12:00pm-12:30pm New York | 9:00am-9:30am San Francisco | 12:00am-12:30am Beijing

Invited talk: Carlo Curino (Microsoft) [on live]