activity
20142026
most citedFairness Testing: Testing Software for Discrimination

410 citations · 583 across the 38 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.AI2020★ 7 cited

Semantic Annotation for Tabular Data

Udayan Khurana, Sainyam Galhotra

Detecting semantic concept of columns in tabular data is of particular interest to many applications ranging from data integration, cleaning, search to feature engineering and mode…

cs.LG2020★ 1 cited

Causal Feature Selection for Algorithmic Fairness

Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri +1

The use of machine learning (ML) in high-stakes societal decisions has encouraged the consideration of fairness throughout the ML lifecycle. Although data integration is one of the…

cs.DB2020★ 2 cited

Adaptive Rule Discovery for Labeling Text Data

Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan

Creating and collecting labeled data is one of the major bottlenecks in machine learning pipelines and the emergence of automated feature generation techniques such as deep learnin…

cs.DB2020★ 20 cited

Efficient and Effective ER with Progressive Blocking

Sainyam Galhotra, Donatella Firmani, Barna Saha +1

Blocking is a mechanism to improve the efficiency of Entity Resolution (ER) which aims to quickly prune out all non-matching record pairs. However, depending on the distributions o…

stat.ML2020

Balancing the Tradeoff Between Clustering Value and Interpretability

Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein

Graph clustering groups entities -- the vertices of a graph -- based on their similarity, typically using a complex distance function over a large number of features. Successful in…