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05/16/2023
Growing and Serving Large Open-domain Knowledge Graphs
Applications of large open-domain knowledge graphs (KGs) to real-world p...
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04/04/2023
High-Throughput Vector Similarity Search in Knowledge Graphs
There is an increasing adoption of machine learning for encoding data in...
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04/15/2022
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
We introduce Saga, a next-generation knowledge construction and serving ...
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06/02/2021
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
Structured data, or data that adheres to a pre-defined schema, can suffe...
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03/09/2021
PCOR: Private Contextual Outlier Release via Differentially Private Search
Outlier detection plays a significant role in various real world applica...
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01/17/2021
Real-Time LSM-Trees for HTAP Workloads
Real-time data analytics systems such as SAP HANA, MemSQL, and IBM Wildf...
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12/31/2020
Kamino: Constraint-Aware Differentially Private Data Synthesis
Organizations are increasingly relying on data to support decisions. Whe...
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11/09/2020
Batchwise Probabilistic Incremental Data Cleaning
Lack of data and data quality issues are among the main bottlenecks that...
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08/24/2020
On sampling from data with duplicate records
Data deduplication is the task of detecting records in a database that c...
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06/18/2020
Record fusion: A learning approach
Record fusion is the task of aggregating multiple records that correspon...
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05/18/2020
Approximate Denial Constraints
The problem of mining integrity constraints from data has been extensive...
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06/29/2019
Approximate Inference in Structured Instances with Noisy Categorical Observations
We study the problem of recovering the latent ground truth labeling of a...
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04/13/2019
Principles of Progress Indicators for Database Repairing
How should a cleaning system measure the amount of inconsistency in the ...
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04/04/2019
HoloDetect: Few-Shot Learning for Error Detection
We introduce a few-shot learning framework for error detection. We show ...
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03/15/2019
Matching Entities Across Different Knowledge Graphs with Graph Embeddings
This paper explores the problem of matching entities across different kn...
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03/12/2019
Distributed Dependency Discovery
We analyze the problem of discovering dependencies from distributed big ...
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01/21/2018
A Formal Framework For Probabilistic Unclean Databases
Traditional modeling of inconsistency in database theory casts all possi...
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12/29/2017
Private Exploration Primitives for Data Cleaning
Data cleaning is the process of detecting and repairing inaccurate or co...
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09/29/2017