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      <title>Kernel density Bayesian inverse reinforcement learning</title>
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      <description>A preliminary version appeared in the Symposium on Advances in Approximate Bayesian Inference, 2022.</description>
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      <title>Optimizing the design of spatial genomics studies</title>
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      <title>Multi-fidelity Bayesian experimental design using power posteriors</title>
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      <title>Efficient Bayesian inverse reinforcement learning via conditional kernel density estimation</title>
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      <pubDate>Thu, 27 Oct 2022 00:00:00 +0000</pubDate>
      
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      <title>Active multi-fidelity Bayesian online changepoint detection</title>
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      <pubDate>Mon, 01 Mar 2021 00:00:00 +0000</pubDate>
      
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      <description>Citation @article{gundersen2021active, title={Active multi-fidelity Bayesian online changepoint detection}, author={Gundersen, Gregory W and Cai, Diana and Zhou, Chuteng and Engelhardt, Barbara E and Adams, Ryan P}, journal={arXiv preprint arXiv:2103.14224}, year={2021} } </description>
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