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07/30/2021
Coordinate descent on the orthogonal group for recurrent neural network training
We propose to use stochastic Riemannian coordinate descent on the orthog...
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07/26/2021
Global optimization using random embeddings
We propose a random-subspace algorithmic framework for global optimizati...
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04/25/2020
Low-rank multi-parametric covariance identification
We propose a differential geometric construction for families of low-ran...
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03/10/2020
Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches
When balanced truncation is used for model order reduction, one has to s...
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08/01/2019
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition
In this paper, we tackle the problem of action recognition using body sk...
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12/11/2018