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kkt condition

11 papers

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KKT

Co-occurring keywords · papers mentioning both

convex optimization (3) non-convex optimization (3) augmented lagrangian method (2) relu network (2) first-order method (2) leaky relu network (2) implicit bia (2) bilevel optimization (2) margin maximization (2) gradient descent (2)

Papers

Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks ICML 2025 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NeurIPS 2024 Alternating Differentiation for Optimization Layers ICLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023 Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization COLT 2023 SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization NeurIPS 2023 On Margin Maximization in Linear and ReLU Networks NeurIPS 2022 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NeurIPS 2020 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018