augmented lagrangian

Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition AAAI 2026 Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract) AAAI 2025 Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024 Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning ICLR 2024 Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023 Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian ICLR 2023 Proximal Splitting Adversarial Attack for Semantic Segmentation CVPR 2023 Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NeurIPS 2022 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling L4DC 2022 PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond RSS 2022 Augmented Lagrangian Adversarial Attacks ICCV 2021 Global Convergence of Online Optimization for Nonlinear Model Predictive Control NeurIPS 2021 IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method NeurIPS 2020 A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019 Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019 Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019