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Adaptive Sampling Methods for Inference involving Computationally Intensive Models

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Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks

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Respecting the boundaries: Space-filling designs for surrogate modeling with boundary information

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Generative Bayesian Optimization for Structured Design

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Spotlight poster presentations 2

Spotlight Poster Presentation 2
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A scalable approach to feasible sets estimation

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On kernelized particle systems for sampling and quantization

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Column and Row Subset Selection using Nuclear Scores

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