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19 Results
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Poster
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Tue 9:00 |
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz |
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Poster
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Wed 14:30 |
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience Vaishnavh Nagarajan · Zico Kolter |
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Oral
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Wed 8:15 |
Deterministic Variational Inference for Robust Bayesian Neural Networks Anqi Wu · Sebastian Nowozin · Ted Meeds · Richard E Turner · José Miguel Hernández Lobato · Alexander Gaunt |
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Poster
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Thu 14:30 |
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers Alexander (Oleksandr) Shekhovtsov · Boris Flach |
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Poster
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Tue 9:00 |
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees Hao He · Hao Wang · Guang-He Lee · Yonglong Tian |
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Poster
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Thu 14:30 |
Variational Bayesian Phylogenetic Inference Cheng Zhang · Frederick A Matsen |
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Poster
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Thu 14:30 |
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS Shengyang Sun · Guodong Zhang · Jiaxin Shi · Roger Grosse |
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Poster
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Thu 14:30 |
Amortized Bayesian Meta-Learning Sachin Ravi · Alex Beatson |
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Poster
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Thu 9:00 |
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling Josue Nassar · Scott W Linderman · Monica Bugallo · Il Memming Park |
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Poster
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Tue 14:30 |
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering Xiaopeng Li · Zhourong Chen · Leonard Poon · Nevin Zhang |
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Poster
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Tue 14:30 |
Learnable Embedding Space for Efficient Neural Architecture Compression Shengcao Cao · Xiaofang Wang · Kris M Kitani |
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Poster
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Thu 14:30 |
Bayesian Policy Optimization for Model Uncertainty Gilwoo Lee · Brian Hou · Aditya Mandalika · Jeongseok Lee · Sanjiban Choudhury · Siddhartha Srinivasa |