🏛️ The Optimization & Control Crypt
math.OC: Where Optimization & Control papers rest without their code.
1988
Total Papers
1812
No Code
8
Twilight
168
Has Code
8.5%
Survival Rate
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Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method
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Improved Sparse Low-Rank Matrix Estimation
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Gradient Descent Finds the Cubic-Regularized Non-Convex Newton Step
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Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications
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Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems
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The Subspace Flatness Conjecture and Faster Integer Programming
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Joint Subcarrier and Power Allocation in NOMA: Optimal and Approximate Algorithms
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Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints
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Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation
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Online semi-parametric learning for inverse dynamics modeling
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Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
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A Two-Stage Metaheuristic Algorithm for the Dynamic Vehicle Routing Problem in Industry 4.0 approach
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An Optimal Algorithm for Decentralized Finite Sum Optimization
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A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
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Multi-marginal optimal transport and probabilistic graphical models
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Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
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Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control
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DOTmark - A Benchmark for Discrete Optimal Transport
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Constrained $H^1$-regularization schemes for diffeomorphic image registration
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Faster exact solution of sparse MaxCut and QUBO problems
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Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach
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Robustness of accelerated first-order algorithms for strongly convex optimization problems
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