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Poster
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Tue 15:15
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Bayesian Learning via Q-Exponential Process
Shuyi Li · Michael O'Connor · Shiwei Lan
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Poster
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Thu 15:00
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Easy Bayesian Transfer Learning with Informative Priors
Martin Špendl · Klementina Pirc
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Poster
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Tue 8:45
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Generalization in the Face of Adaptivity: A Bayesian Perspective
Moshe Shenfeld · Katrina Ligett
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Poster
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Tue 15:15
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Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Yeshu Li · Brian Ziebart
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Poster
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Wed 15:00
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Distributionally Robust Bayesian Optimization with φ-divergences
Hisham Husain · Vu Nguyen · Anton van den Hengel
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Poster
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Wed 15:00
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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
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A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
Elisa Nguyen · Minjoon Seo · Seong Joon Oh
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Poster
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Tue 15:15
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Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
Frederik Warburg · Marco Miani · Silas Brack · Søren Hauberg
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Workshop
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In-Context Learning and Bayesian Inference
Madhur Panwar · Kabir Ahuja · Navin Goyal
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Workshop
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Surprising Deviations from Bayesian View in In-Context Learning
Madhur Panwar · Kabir Ahuja · Navin Goyal
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Poster
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Tue 8:45
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Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
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Poster
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Wed 15:00
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A Bayesian Take on Gaussian Process Networks
Enrico Giudice · Jack Kuipers · Giusi Moffa
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