WA5a.1

Sample Complexity Analysis for Nonnegative Component Analysis and Nonnegative Matrix Factorization

Kejun Huang, University of Florida, United States
Session:
WA5a: Learning-Enabled Signal Processing, Communication and Sensing Lecture
Track:
Array Processing and Multisensor Systems
Location:
Room 5
Presentation Time:
Wed, 28 Oct, 08:15 - 08:40 PT (UTC -7)
Session Chair:
Hei Victor Cheng, Aarhus University, Denmark
Presentation
Discussion
Resources
No resources available.
Session WA5a
WA5a.1: Sample Complexity Analysis for Nonnegative Component Analysis and Nonnegative Matrix Factorization
Kejun Huang, University of Florida, United States
WA5a.2: Learning-Inspired Finite Horizon Optimization for Large-Scale MIMO Beamforming
Yi Feng, Chinese University of Hong Kong, Shenzhen, China; Hei Victor Cheng, Kaiming Shen, Aarhus University, Denmark
WA5a.3: On the Low-Rank Structure of Language Models
Firas Laakom, King Abdullah University of Science and Technology, Saudi Arabia; Haobo Chen, University of California, Santa Barbara, United States; Jürgen Schmidhuber, King Abdullah University of Science and Technology, Saudi Arabia; Yuheng Bu, University of California, Santa Barbara, United States
WA5a.4: Communication-Efficient Distributed Multilinear Multitask Learning
Tongle Wu, Ying Sun, The Pennsylvania State University, United States
Contacts