Asilomar 2024
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Technical Program
Session TA4b
Paper TA4b.3
TA4b.3
Discrete Aware Matrix Completion via Convexized ℓ0-Norm Approximation
Niclas Führling, Kengo Ando, Giuseppe Thadeu Freitas de Abreu, Constructor University, Germany; David Gonzalez G., Osvaldo Gonsa, Continental AG, Germany
Session:
TA4b: Optimization
Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Nautilus
Presentation Time:
Tue, 29 Oct, 11:05 - 11:30 PT (UTC -8)
Session Chair:
Miju Ahn, Southern Methodist University
Presentation
Discussion
Resources
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Session TA4b
TA4b.1: Difference-of-Convex Approximation Methods for the Affine Sparsity Constraints for Hierarchical Variable Selection
Chengyu Ke, American Airlines Inc., United States; Miju Ahn, Southern Methodist University, United States
TA4b.2: Almost multisecant BFGS quasi-Newton method
Mokhwa Lee, Yifan Sun, Stony Brook University, United States
TA4b.3: Discrete Aware Matrix Completion via Convexized ℓ0-Norm Approximation
Niclas Führling, Kengo Ando, Giuseppe Thadeu Freitas de Abreu, Constructor University, Germany; David Gonzalez G., Osvaldo Gonsa, Continental AG, Germany
TA4b.4: Generalized model recovery from real world data
Ayan Banerjee, Sandeep Gupta, Arizona State University, United States
Contacts