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Activity Details

38 ! Sun, 8/8/2021, 3:30 PM - 5:20 PM Virtual
Inference, Optimization, and Computation on Discrete Structures — Invited Papers
Organizer(s): Guanyang Wang, Rutgers University
Chair(s): Guanyang Wang, Rutgers University
3:35 PM 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
3:55 PM Wasserstein gradient flow and Estimation of Gaussian Mixtures
Harrison Zhou, Yale University
4:15 PM 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
4:35 PM Bayesian Pyramids: Identifying Interpretable Discrete Latent Structures from Discrete Data
Yuqi Gu, Columbia University; David Dunson, Duke University
4:55 PM Statistical Summaries of Unlabeled Evolutionary Trees
Samyak Rajanala, Stanford University; Julia A. Palacios, Stanford University
5:15 PM Floor Discussion