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Workshop
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Fri 16:10
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PAC-Bayesian Offline Contextual Bandits with Guarantees
Otmane Sakhi · Pierre Alquier · Nicolas Chopin
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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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PAC-Bayesian Error Bound, via R\'enyi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis · john leth · Rafal Wisniewski · Zheng-Hua Tan · Mihaly Petreczky
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Workshop
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PAC-Bayesian Bounds for Learning LTI-ss systems with Input from Empirical Loss
Deividas Eringis · john leth · Rafal Wisniewski · Zheng-Hua Tan · Mihaly Petreczky
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Workshop
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Fri 18:40
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PAC-Bayesian Error Bound, via R\'enyi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis · john leth · Rafal Wisniewski · Zheng-Hua Tan · Mihaly Petreczky
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
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Poster
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Wed 14:00
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PAC-Bayesian Offline Contextual Bandits With Guarantees
Otmane Sakhi · Pierre Alquier · Nicolas Chopin
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Poster
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Wed 14:00
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PAC-Bayesian Generalization Bounds for Adversarial Generative Models
Sokhna Diarra Mbacke · Florence Clerc · Pascal Germain
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Workshop
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PAC-Bayesian Domain Adaptation Bounds for Multi-view learning
Mehdi Hennequin · Khalid Benabdeslem · Haytham Elghazel
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Workshop
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PAC-Bayesian Offline Contextual Bandits with Guarantees
Otmane Sakhi · Pierre Alquier · Nicolas Chopin
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Poster
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Wed 14:00
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Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
Ruben Ohana · Kimia Nadjahi · alain rakotomamonjy · Ralaivola Liva
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Poster
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Wed 14:00
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Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz Ziomek · Haitham Bou Ammar
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