Random walks on symmetric spaces and inequalities for matrix spectra
By Alexander A. Klyachko. 2000
57 citations recorded by the source corpus.
Subfields: Discrete Mathematics and Combinatorics, Geometry and Topology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/72aa962bcbb20737ca7ffe99bb1d03ec44b7897f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Discrete Mathematics and Combinatorics
- Yiu-Tung Poon
- Chi-Kwong Li
- Sergey Fomin
- William Fulton
- Samy Bengio
- Yoshua Bengio
- Razvan Pascanu
- Laurent Dinh
In Geometry and Topology
- Yiu-Tung Poon
- Chi-Kwong Li
- Sergey Fomin
- William Fulton
- Samy Bengio
- Yoshua Bengio
- Razvan Pascanu
- Laurent Dinh
In Statistics and Probability
- Laurent Dinh
- Razvan Pascanu
- Samy Bengio
- Yoshua Bengio
- Alex Graves
- Kyunghyun Cho
- Tijmen Blankevoort
- Rudolph van der Merwe
Citations in the corpus
- Eigenvalues, singular values, and Littlewood-Richardson coefficients (2003, background): “hese three sequences must satisfy the Horn inequalities (see Proposition 2.1). Conversely, those inequalities are sufficient for the existence of A, B, and C = A+B with the desired singular values; see [11] for the proof, and [7, Section 5] for a detailed exposition. Proposition 1.16. Let 2p ≤ n, and ”
- Sharp Minima Can Generalize For Deep Nets (2017, methodology): “Since D α and ( ∇ 2 L )( θ ) are positive symmetric semi-definite matrices, we can apply the multiplicative Horn inequalities (Klyachko, 2000) on singular values of the product , since we have It means that there exists an observationally equivalent parameter with at least r − min k ≤ K ( n k )…”