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Poster
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Tue 7:00 |
Recurrent Hierarchical Topic-Guided RNN for Language Generation Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou |
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Poster
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Tue 7:00 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang |
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Poster
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Tue 7:00 |
Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent |
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Poster
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Tue 7:00 |
Variational Bayesian Quantization Yibo Yang · Robert Bamler · Stephan Mandt |
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Poster
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Tue 8:00 |
Nonparametric Score Estimators Yuhao Zhou · Jiaxin Shi · Jun Zhu |
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Poster
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Tue 8:00 |
Neural Clustering Processes Ari Pakman · Yueqi Wang · Catalin Mitelut · JinHyung Lee · Department of Statistics Liam Paninski |
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Poster
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Tue 8:00 |
Meta-learning for Mixed Linear Regression Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh |
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Poster
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Tue 9:00 |
How Good is the Bayes Posterior in Deep Neural Networks Really? Florian Wenzel · Kevin Roth · Bastiaan Veeling · Jakub Swiatkowski · Linh Tran · Stephan Mandt · Jasper Snoek · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin |
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Poster
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Tue 9:00 |
Variable Skipping for Autoregressive Range Density Estimation Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen |
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Poster
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Tue 10:00 |
Error Estimation for Sketched SVD via the Bootstrap Miles Lopes · N. Benjamin Erichson · Michael Mahoney |
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Poster
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Tue 10:00 |
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems Hans Kersting · Nicholas Krämer · Martin Schiegg · Christian Daniel · Michael Schober · Philipp Hennig |
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Poster
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Tue 12:00 |
Meta-Learning with Shared Amortized Variational Inference Ekaterina Iakovleva · Jakob Verbeek · Karteek Alahari |