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Regret Bounds for Generalized Linear Bandits under Parameter Drift., , , and . CoRR, (2021)Improved Optimistic Algorithms for Logistic Bandits., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3052-3060. PMLR, (2020)Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3691-3699. PMLR, (2021)Distributionally Robust Counterfactual Risk Minimization., , , , and . AAAI, page 3850-3857. AAAI Press, (2020)Neural Generative Models for Global Optimization with Gradients., , , and . CoRR, (2018)Improving Evolutionary Strategies with Generative Neural Networks., , , and . CoRR, (2019)Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces., and . LION, volume 11353 of Lecture Notes in Computer Science, page 271-287. Springer, (2018)Distributionally Robust Counterfactual Risk Minimization., , , , and . CoRR, (2019)Benchmarking GNN-CMA-ES on the BBOB noiseless testbed., , and . GECCO (Companion), page 1928-1936. ACM, (2019)Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits., , and . CoRR, (2020)