Technical Program

L.7: High-dimensional Statistics

Session Type: Lecture
Track: Statistics and Learning Theory
Virtual Session: View on Virtual Platform
Session Chair: Vijay Subramanian, University of Michigan
 
L.7.1: Limit Distribution for Smooth Total Variation and 𝛘²-Divergence in High Dimensions
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         Ziv Goldfeld; Cornell University
         Kengo Kato; Cornell University
 
L.7.2: High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case
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         Clément Luneau; EPFL
         Nicolas Macris; EPFL
         Jean Barbier; ICTP
 
L.7.3: Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity
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         Adel Javanmard; University of Southern California
         Hamid Nazerzadeh; University of Southern California
         Simeng Shao; University of Southern California
 
L.7.4: Limits on Gradient Compression for Stochastic Optimization
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         Prathamesh Mayekar; Indian Institute of Science
         Himanshu Tyagi; Indian Institute of Science
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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