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ML Optimization methods

Tasks:

  • task_1 Accurate one-dimensional optimization. (golden section, Brent, parabolas)
  • task_2 Advanced methods of unconstrained optimization. (Conjugate gradients, Hessian-free Newton, L-BFGS)
  • task_3 Convex nonsmooth, conditional and structural optimization. (Proximal gradient method, Barrier's method, Subgradient method)
  • task_4 Stochastic optimization methods. (SGD, SVRG)

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Implementation of some optimization algorithms

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