Hamish Flynn

According to our database, Hamish Flynn authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces.

Hamish Flynn, Joe Watson, Ingmar Posner, Jan Peters

CoRR, March, 2026

2025

Relative Information Gain and Gaussian Process Regression.

Hamish Flynn

CoRR, October, 2025

Linear Bandits with Non-i.i.d. Noise.

Baptiste Abélès, Eugenio Clerico, Hamish Flynn, Gergely Neu

CoRR, May, 2025

Confidence Sequences for Generalized Linear Models via Regret Analysis.

Eugenio Clerico, Hamish Flynn, Wojciech Kotlowski, Gergely Neu

CoRR, April, 2025

Sparse Nonparametric Contextual Bandits.

Hamish Flynn, Julia Olkhovskaya, Paul Rognon-Vael

CoRR, March, 2025

Sparse Optimistic Information Directed Sampling.

Ludovic Schwartz, Hamish Flynn, Gergely Neu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Tighter Confidence Bounds for Sequential Kernel Regression.

Hamish Flynn, David Reeb

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison.

Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

PAC-Bayesian Bandit Algorithms With Guarantees

Hamish Flynn

PhD thesis, 2023

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures.

Hamish Flynn, David Reeb, Melih Kandemir, Jan R. Peters

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

PAC-Bayesian lifelong learning for multi-armed bandits.

Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters

Data Min. Knowl. Discov., 2022