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Oral Session
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Wed 7:30
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PM: Variational Inference/Bayesian Models and Methods
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Poster
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Wed 15:30
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Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe
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Spotlight
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Wed 7:55
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Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe
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Poster
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Wed 15:30
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Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret · David Blei
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Spotlight
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Wed 11:20
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Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret · David Blei
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Poster
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Wed 15:30
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Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao · Rahul Ramesh · Pratik Chaudhari
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Spotlight
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Wed 8:45
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Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao · Rahul Ramesh · Pratik Chaudhari
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Poster
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Tue 15:30
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Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
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Spotlight
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Tue 13:45
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Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
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Poster
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Tue 15:30
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Variational nearest neighbor Gaussian process
Luhuan Wu · Geoff Pleiss · John Cunningham
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Spotlight
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Tue 10:55
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Variational nearest neighbor Gaussian process
Luhuan Wu · Geoff Pleiss · John Cunningham
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Poster
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Wed 15:30
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Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim
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