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Oral
Thu Jun 13 06:00 AM -- 06:20 AM (KST) @ Room 101
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
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Video]
Oral
Thu Jun 13 06:20 AM -- 06:25 AM (KST) @ Room 101
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
Oral
Thu Jun 13 06:25 AM -- 06:30 AM (KST) @ Room 101
Random Function Priors for Correlation Modeling
Oral
Thu Jun 13 06:30 AM -- 06:35 AM (KST) @ Room 101
Variational Russian Roulette for Deep Bayesian Nonparametrics
Oral
Thu Jun 13 06:35 AM -- 06:40 AM (KST) @ Room 101
Incorporating Grouping Information into Bayesian Decision Tree Ensembles
Oral
Thu Jun 13 07:00 AM -- 07:05 AM (KST) @ Room 101
Discovering Latent Covariance Structures for Multiple Time Series
Oral
Thu Jun 13 07:05 AM -- 07:10 AM (KST) @ Room 101
Scalable Training of Inference Networks for Gaussian-Process Models
Oral
Thu Jun 13 07:10 AM -- 07:15 AM (KST) @ Room 101
Bayesian Optimization Meets Bayesian Optimal Stopping
Oral
Thu Jun 13 07:15 AM -- 07:20 AM (KST) @ Room 101
Learning interpretable continuous-time models of latent stochastic dynamical systems
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