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Workshop
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Sat 12:00
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Towards Probabilistically-Sound Beam Search with Masked Language Models
Anna Sappington · Robert Calef · Creston Brooks · Charlie Cowen-Breen
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Workshop
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Fast probabilistic galaxy field generation with diffusion models
Tanner Sether · Elena Giusarma · Mauricio Reyes Hurtado
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Workshop
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On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
Bokun Wang · Yunwen Lei · Yiming Ying · Tianbao Yang
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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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Thu 16:30
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Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
Edward Milsom · Ben Anson · Laurence Aitchison
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Workshop
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Probabilistic Nested Homogeneous Spaces for Dimensionality Reduction
Xiran Fan · Baba Vemuri
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Poster
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Fri 16:30
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Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
Marco Miani · Lorenzo Beretta · Søren Hauberg
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Poster
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Fri 16:30
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Quasi-Bayes meets Vines
David Huk · Yuanhe Zhang · Ritabrata Dutta · Mark Steel
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Poster
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Fri 16:30
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General bounds on the quality of Bayesian coresets
Trevor Campbell
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Poster
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Wed 11:00
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UDPM: Upsampling Diffusion Probabilistic Models
Shady Abu-Hussein · Raja Giryes
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Poster
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Fri 11:00
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Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang · Yujia Guo · Luigi Acerbi · Samuel Kaski
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Poster
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Thu 11:00
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BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang · Haizhou Shi · Ligong Han · Dimitris Metaxas · Hao Wang
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