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Riemannian stochastic optimization algorithms: Version 1.0.3

Arm Gradient ⭐ 22

Low-variance, unbiased, theoretically sound and computationally efficient gradient for binary latent variable models, derived by variable augmentation and antithetic sampling. (ICLR 2019)

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

Awesome Nonconvex Optimization ⭐ 8

A collection of papers and readings for non-convex optimization

Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder ⭐ 7

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

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