E2TC achieves Õ((KT)^{4/5}) regret for stochastic contextual bandits with pre-trained neural representations and locally convex risk, without requiring extremely wide networks.
The bitter lesson
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Contextual Bandit Optimization with Pre-Trained Neural Networks
E2TC achieves Õ((KT)^{4/5}) regret for stochastic contextual bandits with pre-trained neural representations and locally convex risk, without requiring extremely wide networks.