🏛️ The Optimization & Control Crypt
math.OC: Where Optimization & Control papers rest without their code.
1981
Total Papers
1812
No Code
8
Twilight
161
Has Code
8.1%
Survival Rate
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A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
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Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis
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A Multi-Batch L-BFGS Method for Machine Learning
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GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming
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Bilevel parameter learning for higher-order total variation regularisation models
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A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
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On Representer Theorems and Convex Regularization
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An Investigation of Newton-Sketch and Subsampled Newton Methods
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Nonlinear Opinion Dynamics with Tunable Sensitivity
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Deep Unfolding of a Proximal Interior Point Method for Image Restoration
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Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
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Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems
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A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
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Optimization of Tree Ensembles
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Wasserstein Distributionally Robust Kalman Filtering
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Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points
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On exponential convergence of SGD in non-convex over-parametrized learning
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Optimal Attack Strategies Subject to Detection Constraints Against Cyber-Physical Systems
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LQG Control with Minimum Directed Information: Semidefinite Programming Approach
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Recent Theoretical Advances in Non-Convex Optimization
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Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
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ASAGA: Asynchronous Parallel SAGA
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