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71 Results
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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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Poster
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Wed 15:00 |
Neural Sampling in Hierarchical Exponential-family Energy-based Models Xingsi Dong · Si Wu |
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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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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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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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Thu 8:45 |
Flat Seeking Bayesian Neural Networks Van-Anh Nguyen · Tung-Long Vuong · Hoang Phan · Thanh-Toan Do · Dinh Phung · Trung Le |
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Poster
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Thu 8:45 |
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression Youngsoo Baek · Samuel Berchuck · Sayan Mukherjee |
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Poster
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Wed 15:00 |
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors Farzad Pourkamali · Nicolas Macris |
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Poster
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Tue 8:45 |
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs Kevin Course · Prasanth Nair |
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Poster
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Wed 15:00 |
Latent SDEs on Homogeneous Spaces Sebastian Zeng · Florian Graf · Roland Kwitt |
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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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Tue 8:45 |
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Balhae Kim · Hyungi Lee · Juho Lee |