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Poster
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Thu 18:30
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Replica Conditional Sequential Monte Carlo
Alex Shestopaloff · Arnaud Doucet
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Poster
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Wed 18:30
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Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
Edwin Fong · Simon Lyddon · Christopher Holmes
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Poster
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Tue 18:30
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Calibrated Approximate Bayesian Inference
Hanwen Xing · Geoff Nicholls · Jeong Lee
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Poster
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Wed 18:30
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Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
Chengyue Gong · Jian Peng · Qiang Liu
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Poster
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Tue 18:30
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Rotation Invariant Householder Parameterization for Bayesian PCA
Rajbir-Singh Nirwan · Nils Bertschinger
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Poster
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Wed 18:30
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Disentangling Disentanglement in Variational Autoencoders
Emile Mathieu · Tom Rainforth · N Siddharth · Yee-Whye Teh
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Poster
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Tue 18:30
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BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou · Minghao Yang · Jun Wang · Wei Pan
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Poster
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Thu 18:30
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Adaptive Antithetic Sampling for Variance Reduction
Hongyu Ren · Shengjia Zhao · Stefano Ermon
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Poster
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Wed 18:30
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Hierarchical Decompositional Mixtures of Variational Autoencoders
Ping Liang Tan · Robert Peharz
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Poster
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Wed 18:30
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Bayesian Optimization of Composite Functions
Raul Astudillo · Peter I Frazier
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Poster
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Tue 18:30
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A Framework for Bayesian Optimization in Embedded Subspaces
Amin Nayebi · Alexander Munteanu · Matthias Poloczek
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Poster
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Thu 18:30
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ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin · Yuguang Yue · Mingyuan Zhou
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