33 Results

Poster	Thu 14:00	A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi · Gabriele Cesa · Taco Cohen
Workshop	Fri 3:50	Post-Training Neural Network Compression With Variational Bayesian Quantization Zipei Tan · Robert Bamler
Workshop		Post-Training Neural Network Compression With Variational Bayesian Quantization Zipei Tan · Robert Bamler
Affinity Workshop		Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations Charupriya Sharma
Workshop		Neural Bayesian Network Understudy Paloma Rabaey · Cedric De Boom · Thomas Demeester
Workshop		On the performance of Direct Loss Minimization for Bayesian Neural Networks Yadi Wei · Roni Khardon
Poster	Wed 9:00	Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig
Poster	Thu 9:00	Asymptotic Properties for Bayesian Neural Network in Besov Space Kyeongwon Lee · Jaeyong Lee
Poster	Thu 14:00	Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
Poster	Wed 14:00	Hedging as Reward Augmentation in Probabilistic Graphical Models Debarun Bhattacharjya · Radu Marinescu
Workshop		Leveraging the Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller · Robin Greif · Frank Jenko · Nils Thuerey
Poster	Thu 9:00	Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation Yang Ni