augmented lagrangian method

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