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07/31/2023
A Suite of Fairness Datasets for Tabular Classification
There have been many papers with algorithms for improving fairness of ma...
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07/20/2023
Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions (Extended Version)
Sliding-window aggregation is a foundational stream processing primitive...
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05/31/2023
AI for Low-Code for AI
Low-code programming allows citizen developers to create programs with m...
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10/11/2022
Navigating Ensemble Configurations for Algorithmic Fairness
Bias mitigators can improve algorithmic fairness in machine learning mod...
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05/04/2022
Low-Code Programming Models
Traditionally, computer programming has been the prerogative of professi...
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05/03/2022
Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle (Extended Version)
Machine learning in practice often involves complex pipelines for data c...
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03/31/2022
Comments on Comments: Where Code Review and Documentation Meet
A central function of code review is to increase understanding; helping ...
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02/01/2022
An Empirical Study of Modular Bias Mitigators and Ensembles
There are several bias mitigators that can reduce algorithmic bias in ma...
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08/25/2021
Learning GraphQL Query Costs (Extended Version)
GraphQL is a query language for APIs and a runtime for executing those q...
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09/29/2020
In-Order Sliding-Window Aggregation in Worst-Case Constant Time
Sliding-window aggregation is a widely-used approach for extracting insi...
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07/04/2020
Lale: Consistent Automated Machine Learning
Automated machine learning makes it easier for data scientists to develo...
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06/30/2020
Mining Documentation to Extract Hyperparameter Schemas
AI automation tools need machine-readable hyperparameter schemas to defi...
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11/28/2019
Type Safety with JSON Subschema
JSON is a popular data format used pervasively in web APIs, cloud comput...
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05/24/2019
Type-Driven Automated Learning with Lale
Machine-learning automation tools, ranging from humble grid-search to hy...
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03/19/2019
A semi-supervised deep learning algorithm for abnormal EEG identification
Systems that can automatically analyze EEG signals can aid neurologists ...
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12/06/2018
Yaps: Python Frontend to Stan
Stan is a popular probabilistic programming language with a self-contain...
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10/26/2018
Sub-O(log n) Out-of-Order Sliding-Window Aggregation
Sliding-window aggregation summarizes the most recent information in a d...
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09/30/2018
Extending Stan for Deep Probabilistic Programming
Deep probabilistic programming combines deep neural networks (for automa...
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04/17/2018
