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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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Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
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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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Workshop
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Uncertainty Quantification for Martian Surface Spectral Analysis using Bayesian Deep Learning
Mark Hinds · Michael Geyer · Natalie Klein
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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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Poster
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Wed 16:30
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Sample Efficient Bayesian Learning of Causal Graphs from Interventions
Zihan Zhou · Muhammad Qasim Elahi · Murat Kocaoglu
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Workshop
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Sat 14:00
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Invited Talk: Jacob R. Garnder - Bayesian optimization needs better deep learning
Jacob Gardner
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Workshop
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Bayesian Outcome Weighted Learning
Nikki Freeman · Sophia Yazzourh
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Poster
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Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
Yanfang Ling · Jiyong Li · Lingbo Li · Shangsong Liang
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Workshop
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Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
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Workshop
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A scalable Bayesian continual learning framework for online and sequential decision making
Hanwen Xing · Christopher Yau
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Poster
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Fri 16:30
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Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
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