The problem of least squares regression of a d-dimensional unknown parameter is considered. A stochastic gradient descent based algorithm with weighted iterate-averaging that uses a single pass over ...

ML-Algorithms This repository features numpy-based implementations of fundamental machine learning algorithms, including Linear Regression, Logistic Regression, Softmax Regression, Perceptron, ...

This paper proposes two accelerated gradient descent algorithms for systems with missing input data with the aim at achieving fast convergence rates. Based on the inverse auxiliary model, the missing ...

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