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Shuffling Momentum Gradient Algorithm for Convex Optimization.

Trang H. TranQuoc Tran-DinhLam M. Nguyen
Published in: CoRR (2024)
Keyphrases
  • convex optimization
  • dynamic programming
  • learning algorithm
  • primal dual
  • convergence rate
  • np hard
  • cost function
  • linear programming
  • convex formulation
  • similarity measure
  • augmented lagrangian
  • dual formulation