Topic: geometric-median Goto Github
Some thing interesting about geometric-median
Some thing interesting about geometric-median
geometric-median,Geometric median (GM) is a classical method in statistics for achieving a robust estimation of the uncorrupted data; under gross corruption, it achieves the optimal breakdown point of 0.5. However, its computational complexity makes it infeasible for robustifying stochastic gradient descent (SGD) for high-dimensional optimization problems. In this paper, we show that by applying Gm to only a judiciously chosen block of coordinates at a time and using a memory mechanism, one can retain the breakdown point of 0.5 for smooth non-convex problems, with non-asymptotic convergence rates comparable to the SGD with GM.
User: anishacharya
geometric-median,Fast and differentiable geometric median, a multivariate median analogue. Install with `pip install geom-median`
User: krishnap25
geometric-median,Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, PCA, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...
User: liborty
geometric-median,Optimizes drone delivery tower placement using an algorithm to find the geometric median, ensuring minimal delivery distances. Includes a Python analysis and a detailed project report
User: mattiasagerbo
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