FR3.R9.2

Preconditioned Gradient Descent for Sketched Mixture Learning

Joseph Gabet, CentraleSupélec, Université Paris Saclay, France; Maxime Ferreira Da Costa, CentraleSupélec, Université Paris-Saclay, France
Session:
Signal Processing 1
Track:
12: Signal Processing
Location:
Lamda
Presentation Time:
Fri, 12 Jul, 14:55 - 15:15
Session Chair:
Anand Sarwate, Rutgers
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Session FR3.R9
FR3.R9.1: Modulo Sampling with 1-bit Side Information: Performance Guarantees in the Presence of Quantization
Neil Irwin Bernardo, University of the Philippines Diliman, Philippines; Shaik Basheeruddin Shah, Yonina Eldar, Weizmann Institute of Science, Israel
FR3.R9.2: Preconditioned Gradient Descent for Sketched Mixture Learning
Joseph Gabet, CentraleSupélec, Université Paris Saclay, France; Maxime Ferreira Da Costa, CentraleSupélec, Université Paris-Saclay, France
FR3.R9.3: Distributed Sampling for the Detection of Poisson Sources under Observation Erasures
Vanlalruata Ralte, Amitalok J. Budkuley, IIT Kharagpur, India; Stefano Rini, NYCU Taiwan, Taiwan
FR3.R9.4: Overflow-Avoiding Memory AMP
Shunqi Huang, Japan Advanced Institute of Science and Technology, Japan; Lei Liu, Zhejiang University, China; Brian Kurkoski, Japan Advanced Institute of Science and Technology, Japan
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