81 citations · 85 across the 4 of their papers we have counts for
4 papers
LLE with low-dimensional neighborhood representation
Yair Goldberg, Ya'acov Ritov
The local linear embedding algorithm (LLE) is a non-linear dimension-reducing technique, widely used due to its computational simplicity and intuitive approach. LLE first linearly…
Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data
Peter J. Bickel, Ya'acov Ritov
Discussion of "Treelets--An adaptive multi-scale basis for sparse unordered data" [arXiv:0707.0481]
Manifold Learning: The Price of Normalization
Y. Goldberg, A. Zakai, D. Kushnir +1
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consist…
Asymptotic efficiency of simple decisions for the compound decision problem
Eitan Greenshtein, Ya'acov Ritov
We consider the compound decision problem of estimating a vector of parameters, known up to a permutation, corresponding to independent observations, and discuss the differ…