6 citations · 12 across the 4 of their papers we have counts for
9 papers · 1 filter
Designing Decision Support Systems Using Counterfactual Prediction Sets
Eleni Straitouri, Manuel Gomez Rodriguez
Decision support systems for classification tasks are predominantly designed to predict the value of the ground truth labels. However, since their predictions are not perfect, thes…
Human-Aligned Calibration for AI-Assisted Decision Making
Nina L. Corvelo Benz, Manuel Gomez Rodriguez
Whenever a binary classifier is used to provide decision support, it typically provides both a label prediction and a confidence value. Then, the decision maker is supposed to use…
On the Within-Group Fairness of Screening Classifiers
Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez
Screening classifiers are increasingly used to identify qualified candidates in a variety of selection processes. In this context, it has been recently shown that, if a classifier…
Counterfactual Inference of Second Opinions
Nina L. Corvelo Benz, Manuel Gomez Rodriguez
Automated decision support systems that are able to infer second opinions from experts can potentially facilitate a more efficient allocation of resources; they can help decide whe…
Improving Screening Processes via Calibrated Subset Selection
Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez
Many selection processes such as finding patients qualifying for a medical trial or retrieval pipelines in search engines consist of multiple stages, where an initial screening sta…
Improving Expert Predictions with Conformal Prediction
Eleni Straitouri, Lequn Wang, Nastaran Okati +1
Automated decision support systems promise to help human experts solve multiclass classification tasks more efficiently and accurately. However, existing systems typically require…