research
∙
02/20/2023
Towards Unbounded Machine Unlearning
Deep machine unlearning is the problem of removing the influence of a co...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
01/07/2022
Weighted Random Sampling over Joins
Joining records with all other records that meet a linkage condition can...
research
∙
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...
research
∙
08/13/2019
Adaptive Learning of Aggregate Analytics under Dynamic Workloads
Large organizations have seamlessly incorporated data-driven decision ma...
research
∙
12/29/2018
