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Experimental Design for Optimization of Orthogonal Projection Pursuit Models., , and . AAAI, page 10235-10242. AAAI Press, (2020)Sensing Cox Processes via Posterior Sampling and Positive Bases., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6968-6989. PMLR, (2022)Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3110-3120. PMLR, (2020)Coresets via Bilevel Optimization for Continual Learning and Streaming., , and . NeurIPS, (2020)Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7031-7054. PMLR, (2022)Submodular Reinforcement Learning., , , and . ICLR, OpenReview.net, (2024)Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3429-3438. PMLR, (2019)Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces., and . NeurIPS, (2022)Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features., and . NeurIPS, page 9019-9030. (2018)Modern Adaptive Experiment Design: Machine Learning Perspective.. ETH Zurich, Zürich, Switzerland, (2024)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/669541).