research
∙
05/26/2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Short-term demand forecasting models commonly combine convolutional and ...
share
research
∙
09/11/2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
We show that many machine learning goals, such as improved fairness metr...
research
∙
06/29/2018
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Classifiers can be trained with data-dependent constraints to satisfy fa...
research
∙
06/28/2018
Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization
Given a classifier ensemble and a set of examples to be classified, many...
research
∙
09/19/2017