🏛️ 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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Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
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Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods
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Optimal Algorithms for Convex Nested Stochastic Composite Optimization
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State-Dependent Temperature Control for Langevin Diffusions
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False Data Injection Attacks on Hybrid AC/HVDC Interconnected System with Virtual Inertia -- Vulnerability, Impact and Detection
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Fractional Deep Neural Network via Constrained Optimization
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Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design
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GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization
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An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem
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Stochastic Primal-Dual Method for Empirical Risk Minimization with $\mathcal{O}(1)$ Per-Iteration Complexity
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Maximizing Road Capacity Using Cars that Influence People
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Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
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Structured Linearization of Discrete Mechanical Systems for Analysis and Optimal Control
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Optimization over Degree Sequences
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Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images
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Deep learning architectures for nonlinear operator functions and nonlinear inverse problems
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Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm
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Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
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The Green Choice: Learning and Influencing Human Decisions on Shared Roads
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COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite
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Efficient Greedy Coordinate Descent for Composite Problems
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On Recoverable and Two-Stage Robust Selection Problems with Budgeted Uncertainty
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