Reproducibility Repository This repository contains reproducibility submissions, related to publications of the DAMS Lab research group. BTW 2025 Incremental SliceLine for Iterative ML Model Debugging under Updates 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