MO4.R9: AMP, Sparsity and Sketching
Mon, 8 Jul, 16:25 - 17:45
Location: Lamda
Session Chair: Ramji Venkataramanan, University of Cambridge
Track: 11: Information Theory and Statistics
Mon, 8 Jul, 16:25 - 16:45

MO4.R9.1: On the Success Probability of the $L_0$-regularized Box-constrained Babai Point
Xiao-Wen Chang, Yingzi Xu, McGill University, Canada
Mon, 8 Jul, 16:45 - 17:05

MO4.R9.2: Linear Operator Approximate Message Passing: Power Method with Partial and Stochastic Updates
Riccardo Rossetti, Duke University, United States; Bobak Nazer, Boston University, United States; Galen Reeves, Duke University, United States
Mon, 8 Jul, 17:05 - 17:25

MO4.R9.3: A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification
Burak Çakmak, Technical University of Berlin, Germany; Yue M. Lu, Harvard University, United States; Manfred Opper, Technical University of Berlin, Germany
Mon, 8 Jul, 17:25 - 17:45

MO4.R9.4: Efficient Nonconvex Optimization for Two-way Sparse Reduced-Rank Regression
Cheng Cheng, Ziping Zhao, ShanghaiTech University, China