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04/18/2023
METAM: Goal-Oriented Data Discovery
Data is a central component of machine learning and causal inference tas...
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03/02/2023
A Vision for Semantically Enriched Data Science
The recent efforts in automation of machine learning or data science has...
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12/21/2022
Consistent Range Approximation for Fair Predictive Modeling
This paper proposes a novel framework for certifying the fairness of pre...
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06/22/2022
Community Recovery in the Geometric Block Model
To capture inherent geometric features of many community detection probl...
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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...
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06/03/2021
Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example
Identifying a project-join view (PJ-view) over collections of tables is ...
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05/13/2021
DataExposer: Exposing Disconnect between Data and Systems
As data is a central component of many modern systems, the cause of a sy...
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05/12/2021
How to Design Robust Algorithms using Noisy Comparison Oracle
Metric based comparison operations such as finding maximum, nearest and ...
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03/22/2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
There has been a recent resurgence of interest in explainable artificial...
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02/08/2021
Learning to Generate Fair Clusters from Demonstrations
Fair clustering is the process of grouping similar entities together, wh...
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12/15/2020
Semantic Annotation for Tabular Data
Detecting semantic concept of columns in tabular data is of particular i...
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06/10/2020
Fair Data Integration
The use of machine learning (ML) in high-stakes societal decisions has e...
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05/28/2020
Efficient and Effective ER with Progressive Blocking
Blocking is a mechanism to improve the efficiency of Entity Resolution (...
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05/13/2020
Adaptive Rule Discovery for Labeling Text Data
Creating and collecting labeled data is one of the major bottlenecks in ...
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12/17/2019
Balancing the Tradeoff Between Clustering Value and Interpretability
Graph clustering groups entities – the vertices of a graph – based on th...
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06/28/2019
Min-Max Correlation Clustering via MultiCut
Correlation clustering is a fundamental combinatorial optimization probl...
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03/02/2019
Lexicographically Ordered Multi-Objective Clustering
We introduce a rich model for multi-objective clustering with lexicograp...
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04/12/2018
Connectivity in Random Annulus Graphs and the Geometric Block Model
Random geometric graphs are the simplest, and perhaps the earliest possi...
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09/16/2017
The Geometric Block Model
To capture the inherent geometric features of many community detection p...
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09/11/2017