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Workshop
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Fri 12:15
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PAC-Bayes Tutorial
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo
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Workshop
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Fri 14:15
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Invited Talk 2: A unified recipe for deriving (time-uniform) PAC-Bayes bounds
Aaditya Ramdas
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Workshop
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Fri 13:30
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Invited talk: Lessons Learned from Studying PAC-Bayes and Generalization
Gintare Karolina Dziugaite
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Workshop
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Tighter fast and mixed rate PAC-Bayes bounds
Borja Rodríguez Gálvez · Ragnar Thobaben · Mikael Skoglund
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Workshop
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Fri 16:20
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PAC-Bayes bounds’ parameter optimization via events’ space discretization: new bounds for losses with general tail behaviors
Borja Rodríguez Gálvez · Ragnar Thobaben · Mikael Skoglund
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Workshop
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PAC-Bayes bounds’ parameter optimization via events’ space discretization: new bounds for losses with general tail behaviors
Borja Rodríguez Gálvez · Ragnar Thobaben · Mikael Skoglund
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Workshop
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Improved Time-Uniform PAC-Bayes Bounds using Coin Betting
Kyoungseok Jang · Kwang-Sung Jun · Ilja Kuzborskij · Francesco Orabona
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Workshop
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Fri 16:00
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Improved Time-Uniform PAC-Bayes Bounds using Coin Betting
Kyoungseok Jang · Kwang-Sung Jun · Ilja Kuzborskij · Francesco Orabona
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Workshop
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Fri 12:00
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PAC-Bayes Meets Interactive Learning
Hamish Flynn · Maxime Heuillet · Audrey Durand · Melih Kandemir · Benjamin Guedj
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Workshop
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Computing non-vacuous PAC-Bayes generalization bounds for Models under Adversarial Corruptions
Waleed Mustafa · Philipp Liznerski · Dennis Wagner · Puyu Wang · Marius Kloft
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