TH4.R1.3

Data-Dependent Generalization Bounds via Variable-size Compressibility

Milad Sefidgaran, Paris Research Center, Huawei Technologies France, France; Abdellatif Zaidi, Université Gustave Eiffel, France, France
Session:
Generalization Bounds
Track:
8: Machine Learning
Location:
Ballroom II & III
Presentation Time:
Thu, 11 Jul, 17:05 - 17:25
Session Chair:
Abdellatif Zaidi,
Presentation
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Discussion
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Session TH4.R1
TH4.R1.1: An Information-Theoretic Framework for Out-of-Distribution Generalization
Wenliang Liu, Guanding Yu, Zhejiang University, China; Lele Wang, Renjie Liao, The University of British Columbia, Canada
TH4.R1.2: A note on generalization bounds for losses with finite moments
Borja Rodríguez-Gálvez, KTH Royal Institute of Technology, Sweden; Omar Rivasplata, UCL, United Kingdom; Ragnar Thobaben, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
TH4.R1.3: Data-Dependent Generalization Bounds via Variable-size Compressibility
Milad Sefidgaran, Paris Research Center, Huawei Technologies France, France; Abdellatif Zaidi, Université Gustave Eiffel, France, France
TH4.R1.4: Hierarchical Generalization Bounds for Deep Neural Networks
Haiyun He, Christina Lee Yu, Ziv Goldfeld, Cornell University, United States
Resources
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