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NeurIPS 2026U OxfordSkyralDepartment of Computer ScienceDepartment of Computer Science UUniv of OxfordBandits & online learning

Bayesian Decision Making around Experts

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.

Daniel Jarne Ornia, Joel Dyer, Nicholas Bishop, Anisoara Calinescu and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
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NeurIPS 2026Department of Computer ScienceNanyang TechnologicalDeep RL

Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis

A qubit-relabeling-equivariant, size-agnostic reinforcement learning agent synthesizes near-optimal Clifford circuits across qubit counts, outperforming Qiskit on large instances.

Richie Yeung, Aleks Kissinger, Rob Cornish

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 3/5