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