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27 Results
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Workshop
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Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li · Zichen Miao · Qiang Qiu · Ruqi Zhang |
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Poster
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Wed 15:00 |
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang · Ayush Bharti · Amauri Souza · Luigi Acerbi · Samuel Kaski |
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Workshop
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Bayesian Simulation-based Inference for Cosmological Initial Conditions Noemi Anau Montel · Florian List · Christoph Weniger |
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Workshop
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In-Context Learning and Bayesian Inference Madhur Panwar · Kabir Ahuja · Navin Goyal |
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Poster
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Thu 8:45 |
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit David Wild · Sahra Ghalebikesabi · Dino Sejdinovic · Jeremias Knoblauch |
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Oral
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Thu 8:15 |
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit David Wild · Sahra Ghalebikesabi · Dino Sejdinovic · Jeremias Knoblauch |
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Workshop
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Transformers Can Learn To Solve Linear-Inverse Problems In-Context Kabir Ahuja · Madhur Panwar · Navin Goyal |
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Poster
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Tue 8:45 |
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu · Tianyu Xie · Yu Zhu · Tong Yang · Xiangyu Zhang · Cheng Zhang |
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Poster
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Wed 15:00 |
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao · Michael Deistler · Jakob H Macke |
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Poster
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Tue 8:45 |
Collapsed Inference for Bayesian Deep Learning Zhe Zeng · Guy Van den Broeck |
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Poster
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Wed 8:45 |
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making Prateek Jaiswal · Harsha Honnappa · Vinayak Rao |
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Poster
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Tue 8:45 |
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio |