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Oral
Wed Jul 20 07:30 AM -- 07:50 AM (PDT) @ Room 301 - 303
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
Surrogate Likelihoods for Variational Annealed Importance Sampling
Martin Jankowiak · Du Phan
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 301 - 303
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
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Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 301 - 303
Variational Sparse Coding with Learned Thresholding
Kion Fallah · Christopher Rozell
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Wed Jul 20 08:10 AM -- 08:15 AM (PDT) @ Room 301 - 303
Structured Stochastic Gradient MCMC
Antonios Alexos · Alex Boyd · Stephan Mandt
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Oral
Wed Jul 20 08:15 AM -- 08:35 AM (PDT) @ Room 301 - 303
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
Zhao Tang Luo · Huiyan Sang · Bani Mallick
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
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Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Mao Ye · Qiang Liu
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Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao · Rahul Ramesh · Pratik Chaudhari
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