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Poster
Fri 11:00 Robust Offline Active Learning on Graphs
Yuanchen Wu · Yubai Yuan
Workshop
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
Workshop
Active Learning for Optimal Minimization of Experimental Characterization Uncertainty
Marcus Schwarting · Nathan Seifert · Logan Ward · Ben Blaiszik · Ian Foster · Yuxin Chen · Kirill Prozument
Workshop
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Henry Moss · Victor Picheny · Hrvoje Stojic · Sebastian Ober · Artem Artemev · Andrei Paleyes · Sattar Vakili · Stratis Markou · Jixiang Qing · Nasrulloh Loka · Ivo Couckuyt
Workshop
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
Workshop
Using Rashomon Sets for Robust Active Learning
Simon Nguyen · Tyler H. McCormick
Workshop
Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning
Rui Li · Marcus Klasson · Arno Solin · Martin Trapp
Poster
Fri 11:00 Learning via Surrogate PAC-Bayes
Antoine Picard · Roman Moscoviz · Benjamin Guedj
Poster
Wed 16:30 Block Sparse Bayesian Learning: A Diversified Scheme
Yanhao Zhang · Zhihan Zhu · Yong Xia
Workshop
The Importance of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang · Zhou Lu · Heng Yang
Poster
Wed 16:30 Entropy testing and its application to testing Bayesian networks
Clément L Canonne · Qiping Yang
Poster
Wed 11:00 Active Classification with Few Queries under Misspecification
Vasilis Kontonis · Mingchen Ma · Christos Tzamos