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Workshop
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Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning
Rui Li · Marcus Klasson · Arno Solin · Martin Trapp
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Poster
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Fri 11:00
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Learning via Surrogate PAC-Bayes
Antoine Picard · Roman Moscoviz · Benjamin Guedj
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Poster
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Wed 16:30
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Block Sparse Bayesian Learning: A Diversified Scheme
Yanhao Zhang · Zhihan Zhu · Yong Xia
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Poster
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Wed 16:30
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Entropy testing and its application to testing Bayesian networks
Clément L Canonne · Qiping Yang
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Workshop
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The Importance of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang · Zhou Lu · Heng Yang
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Poster
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Fri 11:00
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Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano Carvalho Melo · Panagiotis Tigas · Alessandro Abate · Yarin Gal
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
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Workshop
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Sun 11:20
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Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit
Zechen Zhang · Haim Sompolinsky
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Workshop
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Modeling Cognitive Strategies in Teaching
Sevan Harootonian · Yael Niv · Tom Griffiths · Mark Ho
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Poster
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Wed 11:00
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A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
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Poster
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Fri 16:30
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A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
Disha Makhija · Joydeep Ghosh · Nhat Ho
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Poster
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Wed 16:30
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Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
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