SS-L11: Large-Dimensional Structures and Methods for Signal Processing, Communication, and Machine Learning
Oral
Thu, 7 May, 14:00 - 16:00
Location: Room 116
Session Type: Oral
Track: Special Sessions
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Thu, 7 May, 14:00 - 14:20

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
Thu, 7 May, 14:20 - 14:40

SS-L11.2: ORTHOGONAL APPROXIMATE MESSAGE-PASSING FOR SUBLINEAR SPARSITY
Keigo Takeuchi, Toyohashi University of Technology, Japan
Thu, 7 May, 14:40 - 15:00

SS-L11.3: LARGE-SYSTEM FIXED-POINT LAW AND DETERMINISTIC CLOSURE FOR SPARSE BAYESIAN LEARNING
Fangqing Xiao, Dirk Slock, Eurecom, France
Thu, 7 May, 15:00 - 15:20

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
Thu, 7 May, 15:20 - 15:40

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
Thu, 7 May, 15:40 - 16:00

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