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Online Learning to Rank with Features.

, , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3856-3865. PMLR, (2019)

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Time Consistent Discounting., and . ALT, volume 6925 of Lecture Notes in Computer Science, page 383-397. Springer, (2011)Asymptotically Optimal Agents., and . ALT, volume 6925 of Lecture Notes in Computer Science, page 368-382. Springer, (2011)Universal Knowledge-Seeking Agents for Stochastic Environments., , and . ALT, volume 8139 of Lecture Notes in Computer Science, page 158-172. Springer, (2013)Adaptivity, Variance and Separation for Adversarial Bandits., and . CoRR, (2019)Matrix games with bandit feedback., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 279-289. AUAI Press, (2021)Free Lunch for optimisation under the universal distribution., , and . IEEE Congress on Evolutionary Computation, page 167-174. IEEE, (2014)Degenerate Feedback Loops in Recommender Systems., , , , and . AIES, page 383-390. ACM, (2019)Exploration by Optimisation in Partial Monitoring., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2488-2515. PMLR, (2020)TopRank: A practical algorithm for online stochastic ranking., , , and . NeurIPS, page 3949-3958. (2018)Linear Multi-Resource Allocation with Semi-Bandit Feedback., , and . NIPS, page 964-972. (2015)