2020 IEEE International Symposium
on Information Theory

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

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia