conftrace_

alternating direction method of multiplier

145 papers

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Co-occurring keywords

convex optimization (1321) distributed optimization (275) stochastic optimization (1060) alternating direction method (35) convergence rate (607) sparse optimization (246) markov random field (303) distributed learning (563) sparse estimation (88) convergence analysis (395)

Papers

Robust High-Order Tensor Compressive Sensing Based on M-Estimators AAAI 2026
Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026
Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026
Denoising Mixup for Regression AAAI 2026
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps AAAI 2025
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024
Online Learning of Capacity-Based Preference Models IJCAI 2024
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping RSS 2024
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Robust Blind Text Image Deblurring via Maximum Consensus Framework AAAI 2024
Distributed Kernel-Driven Data Clustering JMLR 2024
Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024
Deep Plug-and-Play Nighttime Non-Blind Deblurring With Saturated Pixel Handling Schemes WACV 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024
Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NIPS 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NIPS 2023
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion IJCAI 2022
NysADMM: faster composite convex optimization via low-rank approximation ICML 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022