SS-L11.1
INCORPORATING PRIORS IN LEARNING: A RANDOM MATRIX STUDY UNDER A TEACHER–STUDENT FRAMEWORK
MALIK TIOMOKO, Huawei Technologies, France; Ekkehard Schnoor, Aalto University, Finland
Session:
SS-L11: Large-Dimensional Structures and Methods for Signal Processing, Communication, and Machine Learning Oral
Track:
Special Sessions
Location:
Room 116
Presentation Time:
Thu, 7 May, 14:00 - 14:20
Session Co-Chairs:
Zhenyu Liao, Huazhong University of Science and Technology and Zhenyu Liao, Huazhong University of Science and Technology and Keigo Takeuchi, Toyohashi University of Technology
Presentation
Discussion
Resources
No resources available.
Session SS-L11
SS-L11.1: INCORPORATING PRIORS IN LEARNING: A RANDOM MATRIX STUDY UNDER A TEACHER–STUDENT FRAMEWORK
MALIK TIOMOKO, Huawei Technologies, France; Ekkehard Schnoor, Aalto University, Finland
SS-L11.2: ORTHOGONAL APPROXIMATE MESSAGE-PASSING FOR SUBLINEAR SPARSITY
Keigo Takeuchi, Toyohashi University of Technology, Japan
SS-L11.3: Whitening Spherical Gaussian Mixtures in the Large-Dimensional Regime
Mohammed Racim Moussa Boudjemaa, Université de Toulouse, France; Alper Kalle, CEA, France; Xiaoyi Mai, Université de Toulouse - Jean Jaurès, France; José Henrique de Morais Goulart, Toulouse INP, France; Cédric Févotte, CNRS, France
SS-L11.4: AN IMPROVED CONVERGENCE ANALYSIS OF GOSSIP METHODS FOR LARGE RANDOM GRAPHS
Yue Xu, Zhenyu Liao, Huazhong University of Science and Technology, China
SS-L11.5: ORTHOGONAL APPROXIMATE MESSAGE PASSING ALGORITHMS FOR RECTANGULAR SPIKED MATRIX MODELS WITH ROTATIONALLY INVARIANT NOISE
Haohua Chen, Academy of Mathematics and Systems Science, China; Songbin Liu, Columbia University, United States of America; Junjie Ma, Academy of Mathematics and Systems Science, China
SS-L11.6: ONE-BIT QUANTIZED PRECODER CHARACTERIZATION AND PARAMETER OPTIMIZATION IN MASSIVE MIMO SYSTEMS
Xiuxiu Ma, Abla Kammoun, Tareq Y. Al-Naffouri, King Abdullah University of Science and Technology, Saudi Arabia
Contacts