Workshop
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Fri 9:15
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A Bayesian Probabilistic Model for Estimating Building Damage Distribution from Forecasts
Jeffrey Liu · Chad Council
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Poster
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Tue 8:45
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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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Poster
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Tue 15:15
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Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
Qingyao Sun · Kevin Murphy · Sayna Ebrahimi · Alexander D'Amour
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Poster
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Tue 8:45
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Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
Fabian Zaiser · Andrzej Murawski · Chih-Hao Luke Ong
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Workshop
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Hyperspectral shadow removal with iterative logistic regression and latent Parametric Linear Combination of Gaussians
Core Francisco Park · Cecilia Garraffo
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Poster
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Tue 8:45
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Quantification of Uncertainty with Adversarial Models
Kajetan Schweighofer · Lukas Aichberger · Mykyta Ielanskyi · Günter Klambauer · Sepp Hochreiter
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Workshop
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Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang · Jungtaek Kim · Hyungi Lee · Juho Lee
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Poster
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Wed 15:00
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Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
Alexander Immer · Emanuele Palumbo · Alexander Marx · Julia Vogt
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Workshop
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Fri 11:45
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Domain constraints improve risk prediction when outcome data is missing
Sidhika Balachandar · Nikhil Garg · Emma Pierson
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Poster
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Wed 8:45
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Pseudo-Likelihood Inference
Theo Gruner · Boris Belousov · Fabio Muratore · Daniel Palenicek · Jan Peters
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Poster
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Thu 15:00
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Conditional score-based diffusion models for Bayesian inference in infinite dimensions
Lorenzo Baldassari · Ali Siahkoohi · Josselin Garnier · Knut Solna · Maarten V. de Hoop
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Workshop
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Sat 11:45
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AmbientFlow: Invertible generative models from incomplete, noisy imaging measurements
Varun Kelkar · Rucha Deshpande · Arindam Banerjee · Mark Anastasio
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