Four papers by members of the Systems Group presented at VLDB 2021 in Copenhagen, Denmark

The following papers have been presented at external pageVLDB 2021call_made which took place in Copenhagen, Denmark:

SKT: A One-Pass Multi-Sketch Data Analytics Accelerator
Monica Chiosa (ETH Zurich), Thomas Preußer (Accemic Technologies), Gustavo Alonso (ETHZ)

Rumble: Data Independence for Large Messy Data Sets
Ingo Müller (ETH Zürich), Ghislain Fourny (ETH Zurich), Stefan Irimescu (Beekeeper AG), Can Cikis (ETH Zurich), Gustavo Alonso (ETHZ)

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlaš (ETH Zürich), Peng Li (GATECH), Renzhi Wu (Georgia Institute of Technology), Nezihe Merve Gürel (ETH Zürich), Xu Chu (GATECH), Wentao Wu (Microsoft Research), Ce Zhang (ETH)

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li (Peking University), Yu Shen (Peking University), Wentao Zhang (Peking University), Jiawei Jiang (ETH Zurich), Yaliang Li (Alibaba Group), Bolin Ding (Data Analytics and Intelligence Lab, Alibaba Group), Jingren Zhou (Alibaba Group), Zhi Yang (Peking University), Wentao Wu (Microsoft Research), Ce Zhang (ETH), Bin Cui (Peking University)