1 citations · 1 across the 8 of their papers we have counts for
8 papers
Selectivity Estimation for Linear Queries via Online Learning
Fangzhu Shen, Debmalya Panigrahi, Sudeepa Roy
Learning-based approaches for selectivity estimation in databases have gained significant traction in recent years. However, theoretical studies of these learning-based approaches…
Efficient Shapley-Based Influence Attribution in Social Networks
Fangzhu Shen, Amir Gilad, Sudeepa Roy
The ubiquity of social platforms has reshaped the way information, behaviors, and advertisements diffuse across networks, with influence propagation often initiated by a small set…
Fair and Actionable Causal Prescription Ruleset
Benton Li, Nativ Levy, Brit Youngmann +2
Prescriptions, or actionable recommendations, are commonly generated across various fields to influence key outcomes such as improving public health, enhancing economic policies, o…
The Cost of Representation by Subset Repairs
Yuxi Liu, Fangzhu Shen, Kushagra Ghosh +3
Datasets may include errors, and specifically violations of integrity constraints, for various reasons. Standard techniques for ``minimal-cost'' database repairing resolve these vi…
Summarized Causal Explanations For Aggregate Views (Full version)
Brit Youngmann, Michael Cafarella, Amir Gilad +1
SQL queries with group-by and average are frequently used and plotted as bar charts in several data analysis applications. Understanding the reasons behind the results in such an a…
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries
Yihao Hu, Amir Gilad, Kristin Stephens-Martinez +2
We describe a system called Qr-Hint that, given a (correct) target query Q* and a (wrong) working query Q, both expressed in SQL, provides actionable hints for the user to fix the…
Evaluating Datalog over Semirings: A Grounding-based Approach
Hangdong Zhao, Shaleen Deep, Paraschos Koutris +2
Datalog is a powerful yet elegant language that allows expressing recursive computation. Although Datalog evaluation has been extensively studied in the literature, so far, only lo…
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
Shweta Patwa, Danyu Sun, Amir Gilad +2
Synthetic data generation methods, and in particular, private synthetic data generation methods, are gaining popularity as a means to make copies of sensitive databases that can be…