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7 Results
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Workshop
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Fri 7:10 |
Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure" Zhijie Deng |
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Poster
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Wed 17:00 |
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao · Raquel Urtasun · Richard Zemel |
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Poster
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Mon 9:00 |
A statistical theory of cold posteriors in deep neural networks Laurence Aitchison |
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Poster
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Wed 1:00 |
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time Yu Cheng · Honghao Lin |
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Poster
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Thu 17:00 |
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li |
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Poster
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Tue 1:00 |
Activation-level uncertainty in deep neural networks Pablo Morales-Alvarez · Daniel Hernández-Lobato · Rafael Molina · José Miguel Hernández Lobato |
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Poster
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Wed 9:00 |
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit Ben Adlam · Jaehoon Lee · Lechao Xiao · Jeffrey Pennington · Jasper Snoek |