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augmented lagrangian method

30 papers

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Also known as

ALM

Co-occurring keywords

augmented lagrangian (37) constrained optimization (281) semismooth newton method (9) convex optimization (1321) semismooth newton (5) feature selection (649) quadratic penalty method (2) nonlinear optimization (28) kkt condition (9) neural network (6616)

Papers

Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025
A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control RSS 2025
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
Improving Deep Learning Optimization through Constrained Parameter Regularization NIPS 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NIPS 2024
First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems JMLR 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NIPS 2022
Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization AISTATS 2021
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm JMLR 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021
PenDer: Incorporating Shape Constraints via Penalized Derivatives AAAI 2021
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization RSS 2019
Robust Flexible Feature Selection via Exclusive L21 Regularization IJCAI 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019
Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019
Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018