Birs- 24w5196: Frontiers of Bayesian Inference and Data Science

  1. Title:
    An invariance-based approach to node clustering in dynamic networks

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  2. Title:
    Conditional partial exchangeability: longitudinal and multi-view partitions

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    Modeling sparse networks with Bayesian Nonparametrics

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  4. Title:
    Scalable Bayesian inference for Gaussian Graphical Models

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  5. Title:
    Speeding up Inference on genetic trees and graphs

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  6. Title:
    On Bayesian Sequential Clinical Trial Designs

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  7. Title:
    Bayesian multi-study techniques to learn reproducible signals across studies

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  8. Title:
    Bayesian spatial modeling for applications in geophysical sciences

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  9. Title:
    Of mice and music: finite-infinite nested priors for the segmentation of large-scale grouped data

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  10. Title:
    Bayesian Semiparametrics for Sequential Decision-Making with Incomplete Information: Applications in Acute Myeloid Leukemia

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  11. Title:
    Identifiable deep generative models via sparse decoding

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  12. Title:
    Eliciting Behavioral Bayesian Priors for Reinforcement Learning from Large Language Models

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