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10 Results
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Poster
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Fri 16:30 |
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond Kirill Brilliantov · Amauri Souza · Vikas Garg |
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Poster
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Fri 11:00 |
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu · Yijie Zhang · Badr-Eddine Cherief-Abdellatif · Yevgeny Seldin |
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Poster
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Thu 16:30 |
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds Ben Chugg · Hongjian Wang · Aaditya Ramdas |
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Poster
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Fri 16:30 |
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound Reuben Adams · John Shawe-Taylor · Benjamin Guedj |
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Poster
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Wed 11:00 |
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces Angeliki Kamoutsi · Peter Schmitt-Förster · Tobias Sutter · Volkan Cevher · John Lygeros |
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Poster
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Fri 11:00 |
Improved Sample Complexity for Multiclass PAC Learning Steve Hanneke · Shay Moran · Qian Zhang |
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Poster
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Fri 11:00 |
Learning via Surrogate PAC-Bayes Antoine Picard · Roman Moscoviz · Benjamin Guedj |
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Poster
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Thu 11:00 |
Fast Rates for Bandit PAC Multiclass Classification Liad Erez · Alon Peled-Cohen · Tomer Koren · Yishay Mansour · Shay Moran |
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Poster
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Fri 16:30 |
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado Telletxea · Luis Antonio Ortega Andrés · Aritz Pérez · Andres Masegosa |
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Workshop
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From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Qiang Zhang · Ruida Zhou · Yang Shen · Tie Liu |