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Poster
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Thu 14:00
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A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi · Gabriele Cesa · Taco Cohen
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Workshop
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Fri 3:50
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Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan · Robert Bamler
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Workshop
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Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan · Robert Bamler
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Affinity Workshop
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Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
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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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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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Poster
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Thu 14:00
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Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
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Poster
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Wed 14:00
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Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu
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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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Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
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