4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret
Connor Lawless, Angela Zhou
In this short technical note we propose a baseline for decision-aware learning for contextual linear optimization, which solves stochastic linear optimization when cost coefficient…
cs.LG2022★ 2 cited
Cluster Explanation via Polyhedral Descriptions
Connor Lawless, Oktay Gunluk
Clustering is an unsupervised learning problem that aims to partition unlabelled data points into groups with similar features. Traditional clustering algorithms provide limited in…
cs.LG2021★ 2 cited
Fair Decision Rules for Binary Classification
Connor Lawless, Oktay Gunluk
In recent years, machine learning has begun automating decision making in fields as varied as college admissions, credit lending, and criminal sentencing. The socially sensitive na…