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🏛️ The Optimization & Control Crypt
math.OC: Where Optimization & Control papers rest without their code.
1962
Total Papers
1812
No Code
8
Twilight
142
Has Code
7.2%
Survival Rate
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On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
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Distributed Stochastic Gradient Tracking Methods
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Distributed Online Optimization in Dynamic Environments Using Mirror Descent
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First-order Methods for Geodesically Convex Optimization
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Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
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Secure and Privacy-Preserving Consensus
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Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state-space-time network representations
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Solving Mixed Integer Programs Using Neural Networks
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Strong mixed-integer programming formulations for trained neural networks
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Learning in games with continuous action sets and unknown payoff functions
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Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
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ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
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Stochastic Controlled Averaging for Federated Learning with Communication Compression
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Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
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Natasha 2: Faster Non-Convex Optimization Than SGD
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Gradient Descent Can Take Exponential Time to Escape Saddle Points
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A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
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A Linearly-Convergent Stochastic L-BFGS Algorithm
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Privacy-Preserving Average Consensus via State Decomposition
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Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression
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A Lyapunov Analysis of Momentum Methods in Optimization
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Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
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