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20122022
most citedLow-rank optimization for distance matrix completion

59 citations · 100 across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

math.OC2019

Riemannian optimization on the simplex of positive definite matrices

Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria

In this work, we generalize the probability simplex constraint to matrices, i.e., , where

cs.LG20195 cited

Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition

Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra

Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usefulness, etc. Since they influe…

cs.LG2019

Low-rank approximations of hyperbolic embeddings

Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra

The hyperbolic manifold is a smooth manifold of negative constant curvature. While the hyperbolic manifold is well-studied in the literature, it has gained interest in the machine…

cs.CV2019

Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold

Hiroyuki Kasai, Bamdev Mishra

Dictionary leaning (DL) and dimensionality reduction (DR) are powerful tools to analyze high-dimensional noisy signals. This paper presents a proposal of a novel Riemannian joint d…

cs.LG201923 cited

Riemannian adaptive stochastic gradient algorithms on matrix manifolds

Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra

Adaptive stochastic gradient algorithms in the Euclidean space have attracted much attention lately. Such explorations on Riemannian manifolds, on the other hand, are relatively ne…