Showing papers from Univ of Oxford Show all papers
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
In Bayesian multi-armed bandits, pretraining on expert data tightens regret bounds by mutual information with the optimal action, while an information-directed rule selects data sources maximizing immediate information gain, and trust inference safeguards against ineffective or compromised experts.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
Anchored Bipolicy Self-Play uses frozen-base LoRA adapters to separate attacker and defender roles, preventing self-consistency collapse and improving safety with 100x greater parameter efficiency.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.