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🏛️ 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
R.I.P.
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Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
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Uncertain programming model for multi-item solid transportation problem
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A unified variance-reduced accelerated gradient method for convex optimization
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Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
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Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problem
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Parameter estimation in softmax decision-making models with linear objective functions
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Deterministic compressed sensing matrices: Construction via Euler Squares and applications
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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
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Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization
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Accelerated Information Gradient flow
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Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration
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Non-Stationary Bandits with Habituation and Recovery Dynamics
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A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
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On the convergence of gradient-like flows with noisy gradient input
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Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
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Parameter Estimation in Adaptive Control of Time-Varying Systems Under a Range of Excitation Conditions
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DOLPHIn - Dictionary Learning for Phase Retrieval
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Exploration versus exploitation in reinforcement learning: a stochastic control approach
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Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach
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Second-order Guarantees of Distributed Gradient Algorithms
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A Distributed Stochastic Gradient Tracking Method
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Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss
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