106 citations · 305 across the 13 of their papers we have counts for
15 papers
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko +7
Differential privacy (DP) data synthesizers support public release of sensitive information, offering theoretical guarantees for privacy but limited evidence of utility in practica…
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra
Yisu Remy Wang, Shana Hutchison, Jonathan Leang +2
Machine learning algorithms are commonly specified in linear algebra (LA). LA expressions can be rewritten into more efficient forms, by taking advantage of input properties such a…
Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi, Luke Rodriguez, Bill Howe +1
Fairness is increasingly recognized as a critical component of machine learning systems. However, it is the underlying data on which these systems are trained that often reflect di…
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
Sean T. Yang, Kuan-Hao Huang, Bill Howe
We propose JECL, a method for clustering image-caption pairs by training parallel encoders with regularized clustering and alignment objectives, simultaneously learning both repres…
Database-Agnostic Workload Management
Shrainik Jain, Jiaqi Yan, Thierry Cruane +1
We present a system to support generalized SQL workload analysis and management for multi-tenant and multi-database platforms. Workload analysis applications are becoming more soph…
Privacy-Preserving Synthetic Datasets Over Weakly Constrained Domains
Luke Rodriguez, Bill Howe
Techniques to deliver privacy-preserving synthetic datasets take a sensitive dataset as input and produce a similar dataset as output while maintaining differential privacy. These…