Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: D-1.4
Paper Title:  OPeRA: Leveraging the Sample Size and Complexity Trade-Off Towards Efficient One-Bit Phase Retrieval
Authors:  Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian, University of Illinois Chicago, United States
Session: Estimation and Inference I
Location: Virtual D
Presentation Time: Monday, October 31, 08:00 - 09:00
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Adaptive Systems, Machine Learning, Data Analytics: Estimation and Inference