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Poster
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Thu 17:00
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DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li
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Poster
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Mon 1:00
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Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
Francesco Tonolini · Pablo Garcia Moreno · Andreas Damianou · Roderick Murray-Smith
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Poster
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Mon 9:00
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Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua Chang · Patrick A Fletcher · Jungmin Han · Ted Chang · Shashaank Vattikuti · Bart Desmet · Ayah Zirikly · Carson Chow
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Poster
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Wed 9:00
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Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt · Justin Bayer
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Poster
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Thu 9:00
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Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell · Richard Zemel
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Poster
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Wed 9:00
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Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba · Josif Grabocka
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Workshop
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Fri 7:04
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Poster Spotlight "Overfitting in Bayesian Optimization: an empirical study and early-stopping solution"
Huibin Shen · Anastasia Makarova
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Workshop
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Fri 7:10
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Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
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Poster
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Tue 1:00
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Bayesian Context Aggregation for Neural Processes
Michael Volpp · Fabian Flürenbrock · Lukas Grossberger · Christian Daniel · Gerhard Neumann
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Poster
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Tue 17:00
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A Discriminative Gaussian Mixture Model with Sparsity
Hideaki Hayashi · Seiichi Uchida
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Workshop
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Fri 12:15
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A Bayesian Optimization Approach to Estimating Expected Match Time and Organ Quality in Kidney Exchange
Naveen Durvasula
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