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Activity Details
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38 !
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Sun, 8/8/2021,
3:30 PM -
5:20 PM
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Virtual
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Inference, Optimization, and Computation on Discrete Structures — Invited Papers
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IMS
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Organizer(s): Guanyang Wang, Rutgers University
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Chair(s): Guanyang Wang, Rutgers University
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3:35 PM
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A Multi-Resolution Theory for Approximating Infinite-P-Zero-N: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-Off
Xinran Li, University of Illinois; Xiao-Li Meng, Harvard University
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3:55 PM
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Wasserstein gradient flow and Estimation of Gaussian Mixtures
Harrison Zhou, Yale University
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4:15 PM
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Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors
James Johndrow, University of Pennsylvania; Bamdad Hosseini, California Institute of Technology
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4:35 PM
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Bayesian Pyramids: Identifying Interpretable Discrete Latent Structures from Discrete Data
Yuqi Gu, Columbia University; David Dunson, Duke University
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4:55 PM
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Statistical Summaries of Unlabeled Evolutionary Trees
Samyak Rajanala, Stanford University; Julia A. Palacios, Stanford University
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5:15 PM
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Floor Discussion
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