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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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A Push-Pull Gradient Method for Distributed Optimization in Networks
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Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method
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Layer-Parallel Training of Deep Residual Neural Networks
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Accelerated Stochastic Power Iteration
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Cloud-based MPC with Encrypted Data
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Bilevel approaches for learning of variational imaging models
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Stochastic Dual Coordinate Ascent with Adaptive Probabilities
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Optimal Black-Box Reductions Between Optimization Objectives
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Sub-Sampled Newton Methods I: Globally Convergent Algorithms
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Neural networks-based backward scheme for fully nonlinear PDEs
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The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods
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Decentralized learning for wireless communications and networking
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Fast and Simple PCA via Convex Optimization
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Achieving Linear Convergence in Distributed Asynchronous Multi-agent Optimization
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A Reinforcement Learning Approach to Power Control and Rate Adaptation in Cellular Networks
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Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities
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An Algorithmic Theory of Integer Programming
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Why are Adaptive Methods Good for Attention Models?
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Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond
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Improved Convergence Rates for Distributed Resource Allocation
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Sinkhorn Divergences for Unbalanced Optimal Transport
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On Acceleration with Noise-Corrupted Gradients
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