410 citations · 566 across the 27 of their papers we have counts for
28 papers
Stochastic SketchRefine: Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples
Riddho R. Haque, Anh L. Mai, Matteo Brucato +3
Decision making under uncertainty often requires choosing packages, or bags of tuples, that collectively optimize expected outcomes while limiting risks. Processing Stochastic Pack…
ChARLES: Change-Aware Recovery of Latent Evolution Semantics in Relational Data
Shiyi He, Alexandra Meliou, Anna Fariha
Data-driven decision-making is at the core of many modern applications, and understanding the data is critical in supporting trust in these decisions. However, data is dynamic and…
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization
Anh L. Mai, Pengyu Wang, Azza Abouzied +3
A package query returns a package - a multiset of tuples - that maximizes or minimizes a linear objective function subject to linear constraints, thereby enabling in-database decis…
Non-Invasive Fairness in Learning through the Lens of Data Drift
Ke Yang, Alexandra Meliou
Machine Learning (ML) models are widely employed to drive many modern data systems. While they are undeniably powerful tools, ML models often demonstrate imbalanced performance and…
Improved Approximation and Scalability for Fair Max-Min Diversification
Raghavendra Addanki, Andrew McGregor, Alexandra Meliou +1
Given an -point metric space where each point belongs to one of different categories or groups and a set of integers , the fair Max-…
DataExposer: Exposing Disconnect between Data and Systems
Sainyam Galhotra, Anna Fariha, Raoni Lourenço +3
As data is a central component of many modern systems, the cause of a system malfunction may reside in the data, and, specifically, particular properties of the data. For example,…