Search Results - Huggins, Jonathan H.

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  1. 1
    Bidirectional contact tracing could dramatically improve COVID-19 control

    Bidirectional contact tracing could dramatically improve COVID-19 control by Bradshaw, William J., Alley, Ethan C., Huggins, Jonathan H., Lloyd, Alun L., Esvelt, Kevin M.

    Published in Nature communications
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  2. 2
    Reproducible Model Selection Using Bagged Posteriors

    Reproducible Model Selection Using Bagged Posteriors by Huggins, Jonathan H, Miller, Jeffrey W

    Published in Bayesian analysis
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  3. 3
    The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures

    The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the Discovery, Prediction, and Exploration of Mutational Signatures by Chevalier, Aaron, Yang, Shiyi, Khurshid, Zainab, Sahelijo, Nathan, Tong, Tong, Huggins, Jonathan H, Yajima, Masanao, Campbell, Joshua D

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  4. 4
    Reproducible parameter inference using bagged posteriors

    Reproducible parameter inference using bagged posteriors by Huggins, Jonathan H., Miller, Jeffrey W.

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  5. 5
    Calibrated Model Criticism Using Split Predictive Checks

    Calibrated Model Criticism Using Split Predictive Checks by Li, Jiawei, Huggins, Jonathan H

    Published in arXiv.org
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  6. 6
    Structurally Aware Robust Model Selection for Mixtures

    Structurally Aware Robust Model Selection for Mixtures by Li, Jiawei, Huggins, Jonathan H

    Published in arXiv.org
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  7. 7
    Tuning-free coreset Markov chain Monte Carlo

    Tuning-free coreset Markov chain Monte Carlo by Chen, Naitong, Huggins, Jonathan H, Campbell, Trevor

    Published in arXiv.org
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  8. 8
    Reproducible Parameter Inference Using Bagged Posteriors

    Reproducible Parameter Inference Using Bagged Posteriors by Huggins, Jonathan H, Miller, Jeffrey W

    Published in arXiv.org
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  9. 9
    Random Feature Stein Discrepancies

    Random Feature Stein Discrepancies by Huggins, Jonathan H, Mackey, Lester

    Published in arXiv.org
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  10. 10
    A Targeted Accuracy Diagnostic for Variational Approximations

    A Targeted Accuracy Diagnostic for Variational Approximations by Wang, Yu, Kasprzak, Mikołaj, Huggins, Jonathan H

    Published in arXiv.org
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  11. 11
    A Framework for Improving the Reliability of Black-box Variational Inference

    A Framework for Improving the Reliability of Black-box Variational Inference by Welandawe, Manushi, Andersen, Michael Riis, Vehtari, Aki, Huggins, Jonathan H

    Published in arXiv.org
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  12. 12
    Reproducible Model Selection Using Bagged Posteriors

    Reproducible Model Selection Using Bagged Posteriors by Huggins, Jonathan H, Miller, Jeffrey W

    Published in arXiv.org
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  13. 13
    Truncated Random Measures

    Truncated Random Measures by Campbell, Trevor, Huggins, Jonathan H, How, Jonathan P, Broderick, Tamara

    Published in arXiv.org
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  14. 14
    The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions

    The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions by Agrawal, Raj, Huggins, Jonathan H, Trippe, Brian, Broderick, Tamara

    Published in arXiv.org
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  15. 15
    Robust Inference and Model Criticism Using Bagged Posteriors

    Robust Inference and Model Criticism Using Bagged Posteriors by Huggins, Jonathan H, Miller, Jeffrey W

    Published in arXiv.org
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  16. 16
    Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics

    Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics by Negrea, Jeffrey, Yang, Jun, Feng, Haoyue, Roy, Daniel M, Huggins, Jonathan H

    Published in arXiv.org
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  17. 17
    Quantifying the accuracy of approximate diffusions and Markov chains

    Quantifying the accuracy of approximate diffusions and Markov chains by Huggins, Jonathan H, Zou, James

    Published in arXiv.org
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  18. 18
    Validated Variational Inference via Practical Posterior Error Bounds

    Validated Variational Inference via Practical Posterior Error Bounds by Huggins, Jonathan H, Kasprzak, Mikołaj, Campbell, Trevor, Broderick, Tamara

    Published in arXiv.org
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  19. 19
    LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations

    LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations by Trippe, Brian L, Huggins, Jonathan H, Agrawal, Raj, Broderick, Tamara

    Published in arXiv.org
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  20. 20
    Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees

    Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees by Huggins, Jonathan H, Campbell, Trevor, Kasprzak, Mikołaj, Broderick, Tamara

    Published in arXiv.org
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