conftrace_

alternating direction method of multiplier

168 papers

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Co-occurring keywords · papers mentioning both

convex optimization (32) distributed optimization (16) stochastic optimization (13) alternating direction method (11) non-convex optimization (11) convergence rate (9) sparse optimization (8) sparse estimation (8) convergence analysis (8) federated learning (8)

Papers

Denoising Mixup for Regression AAAI 2026 Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026 Learning to accelerate distributed ADMM using graph neural networks L4DC 2026 Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026 PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems CVPR 2026 QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition CVPR 2026 Robust High-Order Tensor Compressive Sensing Based on M-Estimators AAAI 2026 SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026 Accelerating Spectral Clustering under Fairness Constraints ICML 2025 ADMM for Nonconvex Optimization under Minimal Continuity Assumption ICLR 2025 ADMM for Structured Fractional Minimization ICLR 2025 Connecting Federated ADMM to Bayes ICLR 2025 Controlling Participation in Federated Learning with Feedback L4DC 2025 Multi-Shape Matching with Cycle Consistency Basis via Functional Maps AAAI 2025 Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory ACML 2024 Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024 Deep Plug-and-Play Nighttime Non-Blind Deblurring With Saturated Pixel Handling Schemes WACV 2024 Distributed Kernel-Driven Data Clustering JMLR 2024 DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus NeurIPS 2024 Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024 iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping RSS 2024 Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024 Online Learning of Capacity-Based Preference Models IJCAI 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024 Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024