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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 |
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 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 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 |
On Contrastive Learning for Likelihood-free Inference Conor Durkan · Iain Murray · George Papamakarios |
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Poster
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Tue 13:00 |
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans · Volodimir Begy · Gilles Louppe |
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Poster
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Tue 18:00 |
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics Futoshi Futami · Issei Sato · Masashi Sugiyama |
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Poster
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Wed 8:00 |
Undirected Graphical Models as Approximate Posteriors Arash Vahdat · Evgeny Andriyash · William Macready |
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Poster
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Wed 8:00 |
Stochastic Gradient and Langevin Processes Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan |
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Poster
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Wed 8:00 |
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu |