Author:
Achab Mastane,Clémençon Stephan,Garivier Aurélien,Sabourin Anne,Vernade Claire
Publisher
Springer International Publishing
Reference14 articles.
1. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2–3), 235–256 (2002)
2. Boucheron, S., Thomas, M.: Tail index estimation, concentration and adaptivity. Electron. J. Stat. 9(2), 2751–2792 (2015)
3. Bubeck, S., Cesa-Bianchi, N., Lugosi, G.: Bandits with heavy tail. IEEE Trans. Inf. Theory 59(11), 7711–7717 (2013)
4. Carpentier, A., Kim, A.K.: Adaptive and minimax optimal estimation of the tail coefficient. Stat. Sin. 25, 1133–1144 (2014)
5. Carpentier, A., Kim, A.K., et al.: Honest and adaptive confidence interval for the tail coefficient in the Pareto model. Electron. J. Stat. 8(2), 2066–2110 (2014)
Cited by
53 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04
2. Extreme Bandits Using Robust Statistics;IEEE Transactions on Information Theory;2023-03
3. Decision making with dynamic uncertain continuous information;Expert Systems with Applications;2020-11
4. Index;Bandit Algorithms;2020-07-31
5. Bibliography;Bandit Algorithms;2020-07-31