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Best-of-Both-Worlds Algorithms for Partial Monitoring., , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 1484-1515. PMLR, (2023)Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds., , and . CoRR, (2024)Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness.. ICML, volume 162 of Proceedings of Machine Learning Research, page 9678-9694. PMLR, (2022)Tracking Regret Bounds for Online Submodular Optimization., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3421-3429. PMLR, (2021)Large-Scale Price Optimization via Network Flow., and . NIPS, page 3855-3863. (2016)Robust Quadratic Programming for Price Optimization., , and . IJCAI, page 4648-4654. ijcai.org, (2017)Unbiased Objective Estimation in Predictive Optimization., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2181-2190. PMLR, (2018)Causal Bandits with Propagating Inference., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5508-5516. PMLR, (2018)New classes of the greedy-applicable arm feature distributions in the sparse linear bandit problem., , , , , , and . CoRR, (2023)Replicability is Asymptotically Free in Multi-armed Bandits., , , and . CoRR, (2024)