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33 Results
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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu |
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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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Poster
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Tue 14:00 |
Independence Testing for Bounded Degree Bayesian Networks Arnab Bhattacharyya · Clément L Canonne · Qiping Yang |
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Workshop
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Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen · Herilalaina Rakotoarison · Samuel Müller · Frank Hutter |
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Workshop
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How to Combine Variational Bayesian Networks in Federated Learning Atahan Özer · Kadir Burak Buldu · Abdullah Akgül · Gozde Unal |
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Workshop
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Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation Melrose Roderick · Felix Berkenkamp · Fatemeh Sheikholeslami · J. Zico Kolter |
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Poster
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Tue 14:00 |
Thinned random measures for sparse graphs with overlapping communities Federica Zoe Ricci · Michele Guindani · Erik Sudderth |
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Poster
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Wed 9:00 |
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li |
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Poster
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Tue 9:00 |
Natural gradient enables fast sampling in spiking neural networks Paul Masset · Jacob Zavatone-Veth · J. Patrick Connor · Venkatesh Murthy · Cengiz Pehlevan |
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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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Poster
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Tue 14:00 |
On the detrimental effect of invariances in the likelihood for variational inference Richard Kurle · Ralf Herbrich · Tim Januschowski · Yuyang (Bernie) Wang · Jan Gasthaus |