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34 Results
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Poster
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Tue 9:00 |
Streaming Coresets for Symmetric Tensor Factorization Supratim Shit · Rachit Chhaya · Jayesh Choudhari · Anirban Dasgupta |
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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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Thu 7:00 |
Variational Inference for Sequential Data with Future Likelihood Estimates Geon-Hyeong Kim · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim |
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Poster
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Thu 7:00 |
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke |
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Poster
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Thu 6:00 |
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics Matthew Hoffman · Yian Ma |
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Poster
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Thu 6:00 |
Fiedler Regularization: Learning Neural Networks with Graph Sparsity Edric Tam · David Dunson |
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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 12:00 |
On Contrastive Learning for Likelihood-free Inference Conor Durkan · Iain Murray · George Papamakarios |
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Poster
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Wed 10:00 |
Batch Stationary Distribution Estimation Junfeng Wen · Bo Dai · Lihong Li · Dale Schuurmans |
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Poster
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Thu 12:00 |
Double-Loop Unadjusted Langevin Algorithm Paul Rolland · Armin Eftekhari · Ali Kavis · Volkan Cevher |
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Poster
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Wed 11:00 |
Option Discovery in the Absence of Rewards with Manifold Analysis Amitay Bar · Ronen Talmon · Ron Meir |
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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 |