User-item fairness tradeoffs in recommendations
In the basic recommendation paradigm, the most (predicted) relevant item is recommended
to each user. This may result in some items receiving lower exposure than they" should"; to …
to each user. This may result in some items receiving lower exposure than they" should"; to …
How to Strategize Human Content Creation in the Era of GenAI?
Generative AI (GenAI) will have significant impact on content creation platforms. In this
paper, we study the dynamic competition between a GenAI and a human contributor. Unlike …
paper, we study the dynamic competition between a GenAI and a human contributor. Unlike …
[PDF][PDF] Expanding our Participatory Democracy Toolkit using Algorithms, Social Choice, and Social Science
B Flanigan - 2024 - reports-archive.adm.cs.cmu.edu
In most of the world's democracies, policy decisions are primarily made by elected political
officials. However, under mounting dissatisfaction with representative government due to …
officials. However, under mounting dissatisfaction with representative government due to …
[PDF][PDF] Fairness constraints and reward manipulation in stochastic multi-armed bandits
M Kontalexi - 2025 - dspace.lib.ntua.gr
Περίληψη Η παρούσα διπλωματική μελετά το multi-armed bandit πρόβλημα με στοχαστικές
ανταμοιβές, όπου ένας learner παίζει ένα σειριακό παιχνίδι με ένα περιβάλλον για T γύρους …
ανταμοιβές, όπου ένας learner παίζει ένα σειριακό παιχνίδι με ένα περιβάλλον για T γύρους …
Risk preferences of learning algorithms
Many economic decision-makers today rely on learning algorithms for important decisions.
This paper shows that a widely used learning algorithm—ε-Greedy—exhibits emergent risk …
This paper shows that a widely used learning algorithm—ε-Greedy—exhibits emergent risk …