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02/20/2023
Towards Unbounded Machine Unlearning
Deep machine unlearning is the problem of removing the influence of a co...
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10/11/2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
Machine Learning (ML) is changing DBs as many DB components are being re...
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06/21/2022
Graphical Join: A New Physical Join Algorithm for RDBMSs
Join operations (especially n-way, many-to-many joins) are known to be t...
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06/21/2022
Model Joins: Enabling Analytics Over Joins of Absent Big Tables
This work is motivated by two key facts. First, it is highly desirable t...
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01/07/2022
Weighted Random Sampling over Joins
Joining records with all other records that meet a linkage condition can...
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03/14/2020
ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning
As more and more organizations rely on data-driven decision making, larg...
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08/13/2019
Adaptive Learning of Aggregate Analytics under Dynamic Workloads
Large organizations have seamlessly incorporated data-driven decision ma...
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12/29/2018