31 citations · 88 across the 18 of their papers we have counts for
3 papers · 1 filter
Approximating Optimal Policies in Heterogeneous Asynchronous Multi-player Bandits
Sacha Arroues-Paykin, Etienne Boursier, Vianney Perchet
Motivated by applications to cognitive radio networks, multi-player multi-armed bandits (MMAB) have attracted considerable attention in recent years. The asynchronous variant, in w…
Statistical Benefits of Fine-Tuning from Pretrained Initialization in Diagonal Linear Networks
Alexandre Declèves, Etienne Boursier, Nicolas Flammarion
Adapting pretrained models to downstream tasks with limited data has become a central paradigm in modern deep learning. Yet, despite its widespread practical success, how fine-tuni…
Two-Timescale Fine-tuning Provably Learns New Features for Two-Layer ReLU Networks
Etienne Boursier, Nicolas Flammarion
Fine-tuning pre-trained models on specialized tasks with scarce data is central to modern deep learning. Despite its empirical success, theoretical understanding of fine-tuning rem…