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277 Results
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Workshop
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Fri 9:30 |
Keynote by Max Welling: A Nonparametric Bayesian Approach to Deep Learning (without GPs) Max Welling |
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Oral
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Wed 16:30 |
Bayesian Generative Active Deep Learning Toan Tran · Thanh-Toan Do · Ian Reid · Gustavo Carneiro |
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Workshop
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Fri 14:00 |
Subspace Inference for Bayesian Deep Learning Polina Kirichenko · Pavel Izmailov · Andrew Wilson |
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Poster
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Thu 18:30 |
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables Mingzhang Yin · Yuguang Yue · Mingyuan Zhou |
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Poster
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Tue 18:30 |
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou · Minghao Yang · Jun Wang · Wei Pan |
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Poster
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Wed 18:30 |
Model-Based Active Exploration Pranav Shyam · Wojciech Jaśkowski · Faustino Gomez |
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Poster
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Wed 18:30 |
Disentangling Disentanglement in Variational Autoencoders Emile Mathieu · Tom Rainforth · N Siddharth · Yee-Whye Teh |
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Poster
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Thu 18:30 |
Adaptive Antithetic Sampling for Variance Reduction Hongyu Ren · Shengjia Zhao · Stefano Ermon |
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Poster
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Wed 18:30 |
Bayesian Generative Active Deep Learning Toan Tran · Thanh-Toan Do · Ian Reid · Gustavo Carneiro |
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Poster
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Thu 18:30 |
Good Initializations of Variational Bayes for Deep Models Simone Rossi · Pietro Michiardi · Maurizio Filippone |
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Poster
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Wed 18:30 |
Scalable Training of Inference Networks for Gaussian-Process Models Jiaxin Shi · Mohammad Emtiyaz Khan · Jun Zhu |
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Poster
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Wed 18:30 |
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning Yoshihiro Nagano · Shoichiro Yamaguchi · Yasuhiro Fujita · Masanori Koyama |