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71 Results
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Poster
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Wed 15:00 |
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal · Kristoffer Stensbo-Smidt · Wouter Boomsma · Jes Frellsen |
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Workshop
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Last Iterate Convergence of Popov Method for Non-monotone Stochastic Variational Inequalities Daniil Vankov · Angelia Nedich · Lalitha Sankar |
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Poster
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Tue 15:15 |
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 |
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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Poster
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Tue 8:45 |
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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Hyperspectral shadow removal with iterative logistic regression and latent Parametric Linear Combination of Gaussians Core Francisco Park · Cecilia Garraffo |
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Workshop
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Sat 11:45 |
AmbientFlow: Invertible generative models from incomplete, noisy imaging measurements Varun Kelkar · Rucha Deshpande · Arindam Banerjee · Mark Anastasio |
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Poster
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Tue 15:15 |
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson · Michael Li · Scott Linderman |
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Poster
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Thu 8:45 |
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders Paribesh Regmi · Rui Li |
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Poster
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Wed 15:00 |
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks Alexander Immer · Emanuele Palumbo · Alexander Marx · Julia Vogt |
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Poster
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Tue 8:45 |
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio |
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Poster
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Wed 8:45 |
Pseudo-Likelihood Inference Theo Gruner · Boris Belousov · Fabio Muratore · Daniel Palenicek · Jan Peters |