5 citations · 6 across the 10 of their papers we have counts for
4 papers · 1 filter
Online Decision Deferral under Budget Constraints
Mirabel Reid, Tom Sühr, Claire Vernade +1
Machine Learning (ML) models are increasingly used to support or substitute decision making. In applications where skilled experts are a limited resource, it is crucial to reduce t…
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Mohammad-Amin Charusaie, Samira Samadi
Learn-to-Defer is a paradigm that enables learning algorithms to work not in isolation but as a team with human experts. In this paradigm, we permit the system to defer a subset of…
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence
Tom Sühr, Samira Samadi, Chiara Farronato
Machine learning (ML) models are increasingly used in various applications, from recommendation systems in e-commerce to diagnosis prediction in healthcare. In this paper, we prese…
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Counterfactual explanations provide individuals with cost-optimal recommendations to achieve their desired outcomes. However, when a significant number of individuals seek similar…