Oral Session

Wed 7:30

PM: Variational Inference/Bayesian Models and Methods

Spotlight

Wed 7:55

Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe

Poster

Wed 15:30

Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe

Poster

Wed 15:30

Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret · David Blei

Spotlight

Wed 11:20

Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret · David Blei

Poster

Wed 15:30

Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao · Rahul Ramesh · Pratik Chaudhari

Spotlight

Wed 8:45

Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao · Rahul Ramesh · Pratik Chaudhari

Spotlight

Tue 13:45

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge

Poster

Tue 15:30

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge

Poster

Tue 15:30

Variational nearest neighbor Gaussian process
Luhuan Wu · Geoff Pleiss · John Cunningham

Spotlight

Tue 10:55

Variational nearest neighbor Gaussian process
Luhuan Wu · Geoff Pleiss · John Cunningham

Poster

Wed 15:30

Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim