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15 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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Tue 9:00 |
Scalable Bayesian Inverse Reinforcement Learning Alex Chan · Mihaela van der Schaar |
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Poster
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Wed 17:00 |
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly Yuchen Jin · Tianyi Zhou · Liangyu Zhao · Yibo Zhu · Chuanxiong Guo · Marco Canini · Arvind Krishnamurthy |
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Poster
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Tue 17:00 |
A Discriminative Gaussian Mixture Model with Sparsity Hideaki Hayashi · Seiichi Uchida |
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Poster
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Tue 17:00 |
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen · Wei-Lun Chao |
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Poster
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Wed 9:00 |
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba · Josif Grabocka |
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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 9:00 |
Uncertainty-aware Active Learning for Optimal Bayesian Classifier Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian |
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Spotlight
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Wed 5:35 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu |
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Poster
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Mon 1:00 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu |
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Poster
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Wed 9:00 |
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt · Justin Bayer |