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Oral
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Thu 6:20 |
Bucket Renormalization for Approximate Inference Sungsoo Ahn · Michael Chertkov · Adrian Weller · Jinwoo Shin |
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Oral
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Thu 7:40 |
Scalable approximate Bayesian inference for particle tracking data Ruoxi Sun · Department of Statistics Liam Paninski |
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Poster
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Thu 9:15 |
Scalable approximate Bayesian inference for particle tracking data Ruoxi Sun · Department of Statistics Liam Paninski |
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Poster
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Thu 9:15 |
Bucket Renormalization for Approximate Inference Sungsoo Ahn · Michael Chertkov · Adrian Weller · Jinwoo Shin |
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Oral
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Tue 11:20 |
Calibrated Approximate Bayesian Inference Hanwen Xing · Geoff Nicholls · Jeong Lee |
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Oral
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Tue 11:35 |
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations Brian Trippe · Jonathan Huggins · Raj Agrawal · Tamara Broderick |
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Oral
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Tue 12:05 |
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations Wu Lin · Mohammad Emtiyaz Khan · Mark Schmidt |
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Poster
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Tue 18:30 |
Imputing Missing Events in Continuous-Time Event Streams Hongyuan Mei · Guanghui Qin · Jason Eisner |
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Poster
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Tue 18:30 |
Amortized Monte Carlo Integration Adam Golinski · Frank Wood · Tom Rainforth |
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Poster
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Tue 18:30 |
Generalized Approximate Survey Propagation for High-Dimensional Estimation Carlo Lucibello · Luca Saglietti · Yue Lu |
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Poster
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Tue 18:30 |
Correlated Variational Auto-Encoders Da Tang · Dawen Liang · Tony Jebara · Nicholas Ruozzi |
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Poster
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Tue 18:30 |
Bayesian leave-one-out cross-validation for large data Måns Magnusson · Michael Andersen · Johan Jonasson · Aki Vehtari |