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Continuous Optimization

3,907 papers

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155
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Papers

Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Rank-one Convexification for Sparse Regression JMLR 2025
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025
Optimization Over a Probability Simplex JMLR 2025
Dynamic angular synchronization under smoothness constraints JMLR 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems JMLR 2025
Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025
Fast Algorithm for Constrained Linear Inverse Problems JMLR 2025
Generative Adversarial Networks: Dynamics JMLR 2025