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Oral
Wed Jun 12 02:00 PM -- 02:20 PM (PDT) @ Room 101
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
Fadhel Ayed · Juho Lee · Francois Caron
Oral
Wed Jun 12 02:20 PM -- 02:25 PM (PDT) @ Room 101
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
Andrew R Lawrence · Carl Henrik Ek · Neill Campbell
Oral
Wed Jun 12 02:25 PM -- 02:30 PM (PDT) @ Room 101
Random Function Priors for Correlation Modeling
Aonan Zhang · John Paisley
Oral
Wed Jun 12 02:30 PM -- 02:35 PM (PDT) @ Room 101
Variational Russian Roulette for Deep Bayesian Nonparametrics
Kai Xu · Akash Srivastava · Charles Sutton
Oral
Wed Jun 12 02:35 PM -- 02:40 PM (PDT) @ Room 101
Incorporating Grouping Information into Bayesian Decision Tree Ensembles
JUNLIANG DU · Antonio Linero
Oral
Wed Jun 12 02:40 PM -- 03:00 PM (PDT) @ Room 101
Variational Implicit Processes
Chao Ma · Yingzhen Li · Jose Miguel Hernandez-Lobato
Oral
Wed Jun 12 03:00 PM -- 03:05 PM (PDT) @ Room 101
Discovering Latent Covariance Structures for Multiple Time Series
Anh Tong · Jaesik Choi
Oral
Wed Jun 12 03:05 PM -- 03:10 PM (PDT) @ Room 101
Scalable Training of Inference Networks for Gaussian-Process Models
Jiaxin Shi · Mohammad Emtiyaz Khan · Jun Zhu
Oral
Wed Jun 12 03:10 PM -- 03:15 PM (PDT) @ Room 101
Bayesian Optimization Meets Bayesian Optimal Stopping
Zhongxiang Dai · Haibin Yu · Bryan Kian Hsiang Low · Patrick Jaillet
Oral
Wed Jun 12 03:15 PM -- 03:20 PM (PDT) @ Room 101
Learning interpretable continuous-time models of latent stochastic dynamical systems
Lea Duncker · Gergo Bohner · Julien Boussard · Maneesh Sahani