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Workshop
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Neural Bayesian Network Understudy
Paloma Rabaey · Cedric De Boom · Thomas Demeester
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Workshop
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On the performance of Direct Loss Minimization for Bayesian Neural Networks
Yadi Wei · Roni Khardon
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Poster
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Wed 9:00
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Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig
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Workshop
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Leveraging the Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
Maximilian Mueller · Robin Greif · Frank Jenko · Nils Thuerey
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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Workshop
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An Empirical Analysis of the Advantages of Finite vs.~Infinite Width Bayesian Neural Networks
Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez
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Workshop
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An Empirical Analysis of the Advantages of Finite v.s. Infinite Width Bayesian Neural Networks
Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez
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Workshop
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Solar Flare Forecasting with Data-driven Interpretable Model
JiaMeng Lv · Peng Jia · 陈风 · 杨过 · Tie Liu
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Poster
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Tue 14:00
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On the detrimental effect of invariances in the likelihood for variational inference
Richard Kurle · Ralf Herbrich · Tim Januschowski · Yuyang (Bernie) Wang · Jan Gasthaus
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Workshop
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Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only
Samuel Müller · Sebastian Pineda Arango · Matthias Feurer · Josif Grabocka · Frank Hutter
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Workshop
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Bayesian parameter inference of a vortically perturbed flame model for the prediction of thermoacoustic instability
Max Croci · Joel Vasanth · Ushnish Sengupta · Ekrem Ekici · Matthew Juniper
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Poster
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Thu 9:00
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Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson
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