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Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Dynamic Network Model from Partial Observations
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Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Stochastic Nonparametric Event-Tensor Decomposition
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Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 E
On GANs and GMMs
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Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 E
GILBO: One Metric to Measure Them All
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Slides]
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Indexed Video]
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Isolating Sources of Disentanglement in Variational Autoencoders
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Video]
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
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Slides]
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Indexed Video]
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Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 E
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
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Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Adversarially Robust Optimization with Gaussian Processes
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 220 E
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
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Video]
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Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 E
DAGs with NO TEARS: Continuous Optimization for Structure Learning
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Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Proximal Graphical Event Models
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Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Heterogeneous Multi-output Gaussian Process Prediction
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Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 E
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration