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Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification.

, , , and . AAAI, page 8054-8061. AAAI Press, (2022)

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Towards a Non-Stochastic Information Theory., and . ISIT, page 997-1001. IEEE, (2019)Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow., , , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3862-3870. PMLR, (2024)Online learning with feedback graphs and switching costs., and . CoRR, (2018)Online Learning and Decision Making with Partial Information, a feedback perspective.. University of California, San Diego, USA, (2021)Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs., , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 879-892. PMLR, (2021)Selective Uncertainty Propagation in Offline RL., , , , and . CoRR, (2023)Decentralized Chernoff Test in Sensor Networks., , and . ISIT, page 501-505. IEEE, (2018)Channel Coding Theorems in Non-stochastic Information Theory., and . ISIT, page 1790-1795. IEEE, (2021)Attacking Multi-Player Bandits and How to Robustify Them., , , and . AAMAS, page 1337-1345. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Unifying the Stochastic and the Adversarial Bandits with Knapsack., , and . IJCAI, page 3311-3317. ijcai.org, (2019)