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06/20/2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Randomized experiments often need to be stopped prematurely due to the t...
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05/10/2023
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems
Recommendation systems increasingly depend on massive human-labeled data...
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05/08/2023
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Speech datasets are crucial for training Speech Language Technologies (S...
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04/17/2023
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness
Algorithmically optimizing the provision of limited resources is commonp...
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04/12/2023
Potential for allocative harm in an environmental justice data tool
Neighborhood-level screening algorithms are increasingly being deployed ...
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05/15/2022
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
Algorithms provide powerful tools for detecting and dissecting human bia...
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07/25/2021
Federated Causal Inference in Heterogeneous Observational Data
Analyzing observational data from multiple sources can be useful for inc...
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11/02/2020
Synthetic Data Generation for Economists
As more tech companies engage in rigorous economic analyses, we are conf...
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04/29/2019
Curriculum Learning in Deep Neural Networks for Financial Forecasting
For any financial organization, computing accurate quarterly forecasts f...
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04/15/2019