Reproducibility Repository

This repository contains reproducibility submissions, related to publications of the DAMS Lab research group.

SIGMOD 2024

• SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications

VLDB 2024

• POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance

SIGMOD 2023

• AWARE: Workload-aware, Redundancy-exploiting Linear Algebra
• GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example

VLDB 2022

• UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads

CIDR 2022

• DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines

SIGMOD 2021

• p32 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems
• p218 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging
• p523 ExDRa: Exploratory Data Science on Federated Raw Data