|
Workshop
|
Sat 9:25
|
Sheaf Attention Networks
Federico Barbero · Cristian Bodnar · Haitz Sáez de Ocáriz Borde · Pietro Lió
|
|
|
Poster
|
Thu 14:00
|
A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi · Gabriele Cesa · Taco Cohen
|
|
|
Affinity Workshop
|
|
Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
|
|
|
Poster
|
Wed 14:00
|
Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu
|
|
|
Poster
|
Wed 9:00
|
Sample-Then-Optimize Batch Neural Thompson Sampling
Zhongxiang Dai · YAO SHU · Bryan Kian Hsiang Low · Patrick Jaillet
|
|
|
Workshop
|
|
Bayesian Oracle for bounding information gain in neural encoding models
Konstantin-Klemens Lurz · Mohammad Bashiri · Fabian Sinz
|
|
|
Poster
|
Thu 9:00
|
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
|
|
|
Poster
|
Tue 14:00
|
Independence Testing for Bounded Degree Bayesian Networks
Arnab Bhattacharyya · Clément L Canonne · Qiping Yang
|
|
|
Workshop
|
|
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen · Herilalaina Rakotoarison · Samuel Müller · Frank Hutter
|
|
|
Workshop
|
|
How to Combine Variational Bayesian Networks in Federated Learning
Atahan Özer · Kadir Burak Buldu · Abdullah Akgül · Gozde Unal
|
|
|
Workshop
|
|
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
Melrose Roderick · Felix Berkenkamp · Fatemeh Sheikholeslami · J. Zico Kolter
|
|
|
Poster
|
Tue 9:00
|
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
YAO SHU · Zhongxiang Dai · Zhaoxuan Wu · Bryan Kian Hsiang Low
|
|
