Block majorization-minimization with diminishing radius for constrained nonconvex optimization

7 December 2020

Papers citing "Block majorization-minimization with diminishing radius for constrained nonconvex optimization"

8 / 8 papers shown

Title
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Y. Park Sheikh Salman Hassan Y. Tun Eui-nam Huh Walid Saad Choong Seon Hong 82 4 0 19 Jun 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization AlgorithmsInternational Conference on Machine Learning (ICML), 2024 Yuchen Li Laura Balzano Deanna Needell Hanbaek Lyu 126 1 0 05 May 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Nicolas Courty Rémi Flamary Pascal Frossard Titouan Vayer 233 9 0 03 Feb 2024
Stochastic optimization with arbitrary recurrent data samplingInternational Conference on Machine Learning (ICML), 2024 William G. Powell Hanbaek Lyu 174 1 0 15 Jan 2024
Block Majorization Minimization with Extrapolation and Application to $β$ -NMFSIAM Journal on Mathematics of Data Science (SIMODS), 2024 L. Hien Valentin Leplat Nicolas Gillis 186 3 0 12 Jan 2024
A latent linear model for nonlinear coupled oscillators on graphs Agam Goyal Zhaoxing Wu Richard P. Yim Binhao Chen Zihong Xu Hanbaek Lyu 127 0 0 25 Nov 2023
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Nicolas Courty 142 0 0 05 Oct 2023
Supervised Dictionary Learning with Auxiliary Covariates Joo-Hyun Lee Hanbaek Lyu W. Yao 135 1 0 14 Jun 2022