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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization., , , and . CoRR, (2021)Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2523-2541. PMLR, (2022)On Mixup Regularization., , , and . J. Mach. Learn. Res., (2022)Learning with SGD and Random Features., , and . NeurIPS, page 10213-10224. (2018)Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7320-7348. PMLR, (2022)ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions., , , and . NeurIPS, page 6430-6441. (2021)Mean Nyström Embeddings for Adaptive Compressive Learning., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 9869-9889. PMLR, (2022)Near-linear time Gaussian process optimization with adaptive batching and resparsification., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 1295-1305. PMLR, (2020)Kernel Methods Through the Roof: Handling Billions of Points Efficiently., , , and . NeurIPS, (2020)Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret., , , , and . CoRR, (2019)