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Convex Optimization

589 directly classified papers

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Papers

Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025
Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025
Rank-one Convexification for Sparse Regression JMLR 2025
Approximating Metric Magnitude of Point Sets AAAI 2025
Fast Algorithm for Constrained Linear Inverse Problems JMLR 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025
On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025
FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025
Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint AAAI 2025
MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion ICCV 2025
Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Optimization Algorithm Design via Electric Circuits NIPS 2024
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NIPS 2024
Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion AAAI 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Stochastic Newton Proximal Extragradient Method NIPS 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NIPS 2024
Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024