Birs- 23w5009: Harnessing the Power of Latent Structure Models and Modern Big Data learning

  1. Title:
    Ranking inferences based on the top choice of multiway comparisons

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  2. Title:
    Ensemble testing of global null hypotheses with applications to whole genome sequencing studies

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    A latent space model for hypergraphs with diversity and heterogeneous popularity

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    Optimal signal detection in covariance and precision matrices

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  5. Title:
    An apparent paradox in semi-supervised learning

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    Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff

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    Change point detection for tensors with heterogeneous slices

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  8. Title:
    Semiparametric mixture of regression with unspecified error distributions

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  9. Title:
    Identification of dynamic panel logit models with fixed effects

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  10. Title:
    Learning and Rranking Research Topics in Statistics

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  11. Title:
    Two sample inference for random objects using depth profiles

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  12. Title:
    Text analysis and testing of high-dimensional multinomials

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  13. Title:
    Empirical partially Bayes multiple testing and compound χ² decisions

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  14. Title:
    Manifold fitting with CycleGAN

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  15. Title:
    The computational curse of big data for Bayesian additive regression trees: A hitting time analysis

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  16. Title:
    Network-guided covariate selection and downstream applications

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  17. Title:
    Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification

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  18. Title:
    Isotonic subgroup selection

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  19. Title:
    Differentially private penalized M-estimation via noisy optimization

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  20. Title:
    Transport dependency: Optimal transport-based dependency measures

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