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View article: Online Decision-Focused Learning
Online Decision-Focused Learning Open
Decision-focused learning (DFL) is an increasingly popular paradigm for training predictive models whose outputs are used in decision-making tasks. Instead of merely optimizing for predictive accuracy, DFL trains models to directly minimiz…
View article: Prediction-Aware Learning in Multi-Agent Systems
Prediction-Aware Learning in Multi-Agent Systems Open
The framework of uncoupled online learning in multiplayer games has made significant progress in recent years. In particular, the development of time-varying games has considerably expanded its modeling capabilities. However, current regre…
View article: Unravelling in Collaborative Learning
Unravelling in Collaborative Learning Open
Collaborative learning offers a promising avenue for leveraging decentralized data. However, collaboration in groups of strategic learners is not a given. In this work, we consider strategic agents who wish to train a model together but ha…
View article: Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality Open
In economic theory, the concept of externality refers to any indirect effect resulting from an interaction between players that affects the social welfare. Most of the models within which externality has been studied assume that agents hav…
View article: Incentivized Learning in Principal-Agent Bandit Games
Incentivized Learning in Principal-Agent Bandit Games Open
This work considers a repeated principal-agent bandit game, where the principal can only interact with her environment through the agent. The principal and the agent have misaligned objectives and the choice of action is only left to the a…