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