TU3.PA3.10
Backward Gradient Interval Optimization Convergence for the Semi-Classical Signal Analysis
Maria Sara Nour Sadoun, Université Paris Saclay, France; Evangelos Piliouras, Virginia Tech Center for Quantum Information Science and Engineering, United States; Taous-Meriem Laleg-Kirati, INRIA Saclay, France
Session:
TU3.PA3: Sparse Convex and Nonconvex Optimization Poster
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Poster Area 3
Presentation Time:
Tue, 27 Aug, 16:30 - 18:10 France Time (UTC +1)
Session Chair:
Mohammad Alaee-Kerahroodi, University of Luxembourg
Presentation
Discussion
Resources
No resources available.
Session TU3.PA3
TU3.PA3.1: SHARPENING MINIMIZATION INDUCED PENALTIES
Hiroki Kuroda, Nagaoka University of Technology, Japan
TU3.PA3.2: A Decoupled Approach for Composite Sparse-plus-Smooth Penalized Optimization
Adrian Jarret, Valérie Costa, Julien Fageot, EPFL, Switzerland
TU3.PA3.3: Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU function
Atharva Awari, Harrison Nguyen, Samuel Wertz, Arnaud Vandaele, Nicolas Gillis, Université de Mons, Belgium, Belgium
TU3.PA3.4: A Proximal Algorithm for Optimizing Compositions of Quadratic plus Nonconvex Nonsmooth Functions
Yiming Zhou, Wei Dai, Imperial College London, United Kingdom
TU3.PA3.5: On gradient based descent algorithms for joint diagonalization of matrices
Erik Troedsson, Marcus Carlsson, Lund University, Sweden; Herwig Wendt, University of Toulouse, France
TU3.PA3.6: Signal Recovery with Proximal Comixtures
Patrick Combettes, Diego Cornejo, North Carolina State University, United States
TU3.PA3.7: Randomly Activated Proximal Methods for Nonsmooth Convex Minimization
Patrick Combettes, Javier Madariaga, North Carolina State University, United States
TU3.PA3.8: Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation
Nizar Bousselmi, Université catholique de Louvain, Belgium; Nelly Pustelnik, Ecole normale supérieure de Lyon, France; Julien Hendrickx, François Glineur, Université catholique de Louvain, Belgium
TU3.PA3.9: CONTINUAL LEARNING WITH DISTRIBUTED OPTIMIZATION: DOES COCOA FORGET UNDER TASK REPETITION?
Martin Hellkvist, Ayca Ozcelikkale, Anders Ahlen, Uppsala University, Sweden
TU3.PA3.10: Backward Gradient Interval Optimization Convergence for the Semi-Classical Signal Analysis
Maria Sara Nour Sadoun, Université Paris Saclay, France; Evangelos Piliouras, Virginia Tech Center for Quantum Information Science and Engineering, United States; Taous-Meriem Laleg-Kirati, INRIA Saclay, France