79 citations · 221 across the 28 of their papers we have counts for
3 papers · 1 filter
Cost-Effective Retraining of Machine Learning Models
Ananth Mahadevan, Michael Mathioudakis
It is important to retrain a machine learning (ML) model in order to maintain its performance as the data changes over time. However, this can be costly as it usually requires proc…
WaZI: A Learned and Workload-aware Z-Index
Sachith Pai, Michael Mathioudakis, Yanhao Wang
Learned indexes fit machine learning (ML) models to the data and use them to make query operations more time and space-efficient. Recent works propose using learned spatial indexes…
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
Yanhao Wang, Michael Mathioudakis, Jia Li +1
Diversity maximization aims to select a diverse and representative subset of items from a large dataset. It is a fundamental optimization task that finds applications in data summa…