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36 Results
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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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Thu 13:00 |
The Boomerang Sampler Joris Bierkens · Sebastiano Grazzi · Kengo Kamatani · Gareth Roberts |
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Poster
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Wed 13:00 |
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach Miles Lopes · Jessie X.T. 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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Wed 8:00 |
Undirected Graphical Models as Approximate Posteriors Arash Vahdat · Evgeny Andriyash · William Macready |
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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 8:00 |
Meta-learning for Mixed Linear Regression Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh |
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Workshop
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Sat 6:20 |
From random matrices to kernel quadrature: how repulsiveness can speed up Monte Carlo integration |
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Poster
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Thu 8:00 |
Model Fusion with Kullback--Leibler Divergence Sebastian Claici · Mikhail Yurochkin · Soumya Ghosh · Justin Solomon |
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Poster
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Thu 15:00 |
Spectral Subsampling MCMC for Stationary Time Series Robert Salomone · Matias Quiroz · Robert kohn · Mattias Villani · Minh-Ngoc Tran |
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Workshop
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Sat 5:50 |
From random matrices to kernel quadrature: how repulsiveness can speed up Monte Carlo integration Rémi Bardenet |
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Workshop
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Poster presentation: Exhaustive Neural Importance Sampling applied to Monte Carlo event generation Invertible Workshop INNF |