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08/11/2023
Simple Analysis of Priority Sampling
We prove a tight upper bound on the variance of the priority sampling me...
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04/17/2023
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems
Recent advancements in software and hardware technologies have enabled t...
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01/14/2023
Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation
We present a new approach for computing compact sketches that can be use...
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03/27/2022
GPU-Powered Spatial Database Engine for Commodity Hardware: Extended Version
Given the massive growth in the volume of spatial data, there is a great...
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11/03/2021
AlphaD3M: Machine Learning Pipeline Synthesis
We introduce AlphaD3M, an automatic machine learning (AutoML) system bas...
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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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04/07/2021
Correlation Sketches for Approximate Join-Correlation Queries
The increasing availability of structured datasets, from Web tables and ...
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02/10/2021
Auctus: A Dataset Search Engine for Data Augmentation
Machine Learning models are increasingly being adopted in many applicati...
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09/01/2020
Towards Evaluating Exploratory Model Building Process with AutoML Systems
The use of Automated Machine Learning (AutoML) systems are highly open-e...
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05/01/2020
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines
In recent years, a wide variety of automated machine learning (AutoML) m...
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04/12/2020
BugDoc: Algorithms to Debug Computational Processes
Data analysis for scientific experiments and enterprises, large-scale si...
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04/07/2020
A GPU-friendly Geometric Data Model and Algebra for Spatial Queries: Extended Version
The availability of low cost sensors has led to an unprecedented growth ...
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02/11/2020
Debugging Machine Learning Pipelines
Machine learning tasks entail the use of complex computational pipelines...
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10/19/2019
Efficient Discovery of Meaningful Outlier Relationships
We propose PODS (Predictable Outliers in Data-trendS), a method that, gi...
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10/08/2019
AutoML using Metadata Language Embeddings
As a human choosing a supervised learning algorithm, it is natural to be...
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07/05/2019
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation
While the demand for machine learning (ML) applications is booming, ther...
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05/24/2019
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Automatic machine learning is an important problem in the forefront of m...
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05/02/2019
A Topic-Agnostic Approach for Identifying Fake News Pages
Fake news and misinformation have been increasingly used to manipulate p...
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02/25/2019
Bootstrapping Domain-Specific Content Discovery on the Web
The ability to continuously discover domain-specific content from the We...
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08/04/2018
ReproServer: Making Reproducibility Easier and Less Intensive
Reproducibility in the computational sciences has been stymied because o...
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08/09/2017
