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Guillaume Salha-Galvan

2 accepted papers

2026

Position: Regulating Algorithms Is Not Enough. A Study of Content Discovery in Online Platforms

ICML 2026poster

Recent AI regulation has largely focused on algorithmic components such as recommender models, ranking systems, and profiling mechanisms. At the same time, cultural and digital policy agendas increasingly frame discovery as a key objective, aiming to promote exposure diversity and cultural represent…

Cited by 0SourceScholar
2025

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling

ICML 2025poster

This paper introduces von Mises-Fisher exploration (vMF-exp), a scalable method for exploring large action sets in reinforcement learning problems where hyperspherical embedding vectors represent these actions. vMF-exp involves initially sampling a state embedding representation using a von Mises-Fi…

Cited by 0SourcePDFScholar