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46 Results

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Poster
Wed 8:00 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai · Ziyu Wang · David Wipf
Poster
Thu 13:00 The Boomerang Sampler
Joris Bierkens · Sebastiano Grazzi · Kengo Kamatani · Gareth Roberts
Poster
Tue 8:00 Meta-learning for Mixed Linear Regression
Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh
Poster
Tue 7:00 Variational Bayesian Quantization
Yibo Yang · Robert Bamler · Stephan Mandt
Poster
Wed 8:00 Undirected Graphical Models as Approximate Posteriors
Arash Vahdat · Evgeny Andriyash · William Macready
Poster
Thu 17:00 Multi-objective Bayesian Optimization using Pareto-frontier Entropy
Shinya Suzuki · Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
Poster
Wed 16:00 Non-separable Non-stationary random fields
Kangrui Wang · Oliver Hamelijnck · Theodoros Damoulas · Mark Steel
Poster
Wed 8:00 Self-Modulating Nonparametric Event-Tensor Factorization
Zheng Wang · Xinqi Chu · Shandian Zhe
Poster
Wed 14:00 Healing Products of Gaussian Process Experts
samuel cohen · Rendani Mbuvha · Tshilidzi Marwala · Marc Deisenroth
Poster
Wed 5:00 Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations
Stephen Keeley · David Zoltowski · Yiyi Yu · Spencer Smith · Jonathan Pillow
Poster
Thu 8:00 Model Fusion with Kullback--Leibler Divergence
Sebastian Claici · Mikhail Yurochkin · Soumya Ghosh · Justin Solomon
Poster
Wed 10:00 Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin · Mark Schmidt · Mohammad Emtiyaz Khan