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Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.

, , , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3862-3870. PMLR, (2024)

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Towards a Non-Stochastic Information Theory., and . ISIT, page 997-1001. IEEE, (2019)Sequential Choice Bandits with Feedback for Personalizing users' experience., , and . CoRR, (2021)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)Unifying the stochastic and the adversarial Bandits with Knapsack., , and . CoRR, (2018)Unifying the Stochastic and the Adversarial Bandits with Knapsack., , and . IJCAI, page 3311-3317. ijcai.org, (2019)Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs., , and . CoRR, (2020)Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification., , , and . CoRR, (2021)