research
∙
09/15/2023
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
Synthetic data generation methods, and in particular, private synthetic ...
share
research
∙
07/04/2023
A Double Machine Learning Approach to Combining Experimental and Observational Data
Experimental and observational studies often lack validity due to untest...
research
∙
09/02/2022
DPXPlain: Privately Explaining Aggregate Query Answers
Differential privacy (DP) is the state-of-the-art and rigorous notion of...
research
∙
03/28/2022
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach
What-if (provisioning for an update to a database) and how-to (how to mo...
research
∙
02/22/2022
Understanding Queries by Conditional Instances
A powerful way to understand a complex query is by observing how it oper...
research
∙
03/29/2021
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version)
In many data analysis applications, there is a need to explain why a sur...
research
∙
01/06/2021
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
dame-flame is a Python package for performing matching for observational...
research
∙
10/17/2020
Aggregated Deletion Propagation for Counting Conjunctive Query Answers
We investigate the computational complexity of minimizing the source sid...
research
∙
04/10/2020
On Multiple Semantics for Declarative Database Repairs
We study the problem of database repairs through a rule-based framework ...
research
∙
04/09/2020
Computing Local Sensitivities of Counting Queries with Joins
Local sensitivity of a query Q given a database instance D, i.e. how muc...
research
∙
04/07/2020
Causal Relational Learning
Causal inference is at the heart of empirical research in natural and so...
research
∙
03/03/2020
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
We propose a matching method for observational data that matches units w...
research
∙
03/02/2020
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
We propose a matching method that recovers direct treatment effects from...
research
∙
07/23/2019
Generalized Deletion Propagation on Counting Conjunctive Query Answers
We investigate the computational complexity of minimizing the source sid...
research
∙
06/27/2019
Interpretable Almost-Matching-Exactly With Instrumental Variables
Uncertainty in the estimation of the causal effect in observational stud...
research
∙
06/21/2019
Learning to Sample: Counting with Complex Queries
In this paper we present a suite of methods to efficiently estimate coun...
research
∙
04/13/2019
Principles of Progress Indicators for Database Repairing
How should a cleaning system measure the amount of inconsistency in the ...
research
∙
04/09/2019
Explaining Wrong Queries Using Small Examples
For testing the correctness of SQL queries, e.g., evaluating student sub...
research
∙
07/31/2018
Interactive Summarization and Exploration of Top Aggregate Query Answers
We present a system for summarization and interactive exploration of hig...
research
∙
06/18/2018
Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference
We aim to create the highest possible quality of treatment-control match...
research
∙
12/20/2017
Computing Optimal Repairs for Functional Dependencies
We investigate the complexity of computing an optimal repair of an incon...
research
∙
08/28/2017
Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework
Analyzing contention for resources in a cluster computing environment ac...
research
∙
08/08/2017
A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence
The study of causality or causal inference - how much a given treatment ...
research
∙
07/19/2017
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
A classical problem in causal inference is that of matching, where treat...
research
∙
09/26/2013
