first-order method
PracticalLarge-ScaleLinearProgrammingusing Primal-DualHybridGradient
We present PDLP, a practical first-order method for linear programming (LP) that can solve to the high levels of accuracy that are expected in traditional LP applications.
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- North America > United States > Pennsylvania > Philadelphia County > Philadelphia (0.04)
- North America > United States > Massachusetts (0.04)
Technology: Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.89)
Convergence Analysis of ODE Models for Accelerated First-Order Methods via Positive Semidefinite Kernels
Consequently, our framework transforms the task of proving convergence rate into verifying the positive semidefiniteness of a specific integral kernel.
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- Asia > Middle East > Jordan (0.05)
- Asia > South Korea > Seoul > Seoul (0.04)
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Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
Then we follow recent works to pursue the weak approximate solutions.
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- Asia > Middle East > Jordan (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > United States > California > San Diego County > San Diego (0.04)
- Europe > France (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.96)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.69)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
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- North America > United States (0.28)
- Asia > Middle East > Israel > Haifa District > Haifa (0.04)
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Provable Acceleration of Nesterov's Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networks
We study the convergence rate of first-order methods for rectangular matrix factorization, which is a canonical nonconvex optimization problem.
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- Africa > Senegal > Kolda Region > Kolda (0.05)
- North America > United States > Texas > Travis County > Austin (0.04)
- North America > United States > California > Alameda County > Berkeley (0.04)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.65)
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- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > Canada (0.04)
- Europe > Russia (0.04)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.69)
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- North America > Canada > Quebec > Montreal (0.04)
- North America > United States > Wisconsin (0.04)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
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