Learning personalized decision support policies
Individual human decision-makers may benefit from different forms of support to improve
decision outcomes. However, a key question is which form of support will lead to accurate …
decision outcomes. However, a key question is which form of support will lead to accurate …
Confounding-robust policy improvement with human-ai teams
Human-AI collaboration has the potential to transform various domains by leveraging the
complementary strengths of human experts and Artificial Intelligence (AI) systems. However …
complementary strengths of human experts and Artificial Intelligence (AI) systems. However …
Loss functions for discrete contextual pricing with observational data
We study a pricing setting where each customer is offered a contextualized price based on
customer and/or product features. Often only historical sales data are available, so we …
customer and/or product features. Often only historical sales data are available, so we …
Trustworthy Machine Learning: From Algorithmic Transparency to Decision Support
U Bhatt - 2024 - repository.cam.ac.uk
Developing machine learning models worthy of decision-maker trust is crucial to using
models in practice. Algorithmic transparency tools, such as explainability and uncertainty …
models in practice. Algorithmic transparency tools, such as explainability and uncertainty …
LINK: Self-Adaptive System with Human-Machine Teaming-based Loop for Interoperability in IoT Environments
Nowadays, automated systems have permeated various industries, optimizing processes
and transitioning traditional analog methodologies into efficient digital paradigms. However …
and transitioning traditional analog methodologies into efficient digital paradigms. However …