Tight First-and Second-Order Regret Bounds for Adversarial Linear Bandits
–Neural Information Processing Systems
We propose novel algorithms with first-and second-order regret bounds for adversarial linear bandits.
Neural Information Processing Systems
Oct-2-2025, 05:13:28 GMT
- Country:
- Asia > Japan
- Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.04)
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- North America > Canada (0.04)
- Asia > Japan
- Technology: