Technical Program

L.10: Learning Theory I

Session Type: Lecture
Track: Statistics and Learning Theory
Virtual Session: View on Virtual Platform
Session Chair: Lizhong Zheng, Massachusetts Institute of Technology
 
L.10.1: On Estimation of Modal Decompositions
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         Anuran Makur; Massachusetts Institute of Technology
         Gregory W. Wornell; Massachusetts Institute of Technology
         Lizhong Zheng; Massachusetts Institute of Technology
 
L.10.2: Robust Generalization via f-Mutual Information
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         Amedeo Roberto Esposito; EPFL
         Michael Gastpar; EPFL
         Ibrahim Issa; American University of Beirut
 
L.10.3: Learning Representations by Maximizing Mutual Information in Variational Autoencoders
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         Ali Lotfi Rezaabad; The University of Texas at Austin
         Sriram Vishwanath; The University of Texas at Austin
 
L.10.4: Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
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         Toshiaki Koike-Akino; Mitsubishi Electric Research Laboratories (MERL)
         Ye Wang; Mitsubishi Electric Research Laboratories (MERL)
 
L.10.5: Generalization Error Bounds via mth Central Moments of the Information Density
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         Fredrik Hellström; Chalmers University of Technology
         Giuseppe Durisi; Chalmers University of Technology
 
L.10.6: Exploring Unique Relevance for Mutual Information based Feature Selection
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         Shiyu Liu; National University of Singapore
         Mehul Motani; National University of Singapore
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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