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Poster
Thu 14:00 Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Richard Grumitt · Biwei Dai · Uros Seljak
Poster
Tue 14:00 Active Bayesian Causal Inference
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen
Poster
Thu 9:00 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson
Poster
Wed 14:00 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen · Samuel Daulton · Michael A Osborne
Poster
Wed 14:00 Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Marvin Pförtner · Philipp Hennig · John Cunningham
Poster
Estimating graphical models for count data with applications to single-cell gene network
Feiyi Xiao · Junjie Tang · Huaying Fang · Ruibin Xi