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Oral
Tue 11:00 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth
Poster
Tue 14:00 A Hybrid Approximation to the Marginal Likelihood
Eric Chuu · Debdeep Pati · Anirban Bhattacharya
Poster
Tue 14:00 Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
Mayee Chen · Benjamin Cohen-Wang · Stephen Mussmann · Frederic Sala · Christopher Re
Poster
Tue 14:00 Deep Spectral Ranking
ILKAY YILDIZ · Jennifer Dy · Deniz Erdogmus · Susan Ostmo · J. Peter Campbell · Michael F. Chiang · Stratis Ioannidis
Poster
Tue 14:00 On Learning Continuous Pairwise Markov Random Fields
Abhin Shah · Devavrat Shah · Gregory Wornell
Poster
Tue 14:00 Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman Liang · Nimar Arora · Nazanin Tehrani · Yucen Li · Michael Tingley · Erik Meijer
Poster
Tue 14:00 Dynamic Cutset Networks
Chiradeep Roy · Tahrima Rahman · Hailiang Dong · Nicholas Ruozzi · Vibhav Gogate
Poster
Tue 14:00 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
Poster
Tue 14:00 Learning GPLVM with arbitrary kernels using the unscented transformation
Daniel Augusto Ramos Macedo Antunes de Souza · Diego Mesquita · João Paulo Gomes · César Lincoln Mattos
Poster
Tue 14:00 Density of States Estimation for Out of Distribution Detection
Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon
Poster
Tue 14:00 The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev
Poster
Tue 18:30 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
Roberto Vega · Pouneh Gorji · Zichen Zhang · Xuebin Qin · Abhilash Rakkunedeth · Jeevesh Kapur · Jacob Jaremko · Russell Greiner