Information geometry of operator scaling
DOI10.1016/j.laa.2022.04.022OpenAlexW3021578357WikidataQ114151574 ScholiaQ114151574MaRDI QIDQ2151570
Publication date: 5 July 2022
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.01453
information geometrycompletely positive mapsymmetric logarithmic derivativeoperator scalingSinkhorn algorithm
Norms of matrices, numerical range, applications of functional analysis to matrix theory (15A60) Quantum information, communication, networks (quantum-theoretic aspects) (81P45) Differential geometric aspects of statistical manifolds and information geometry (53B12)
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Cites Work
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- Information geometry and its applications
- Riemannian metrics on positive definite matrices related to means
- I-divergence geometry of probability distributions and minimization problems
- Completely positive linear maps on complex matrices
- Constructive non-commutative rank computation is in deterministic polynomial time
- On variational expressions for quantum relative entropies
- Semidefinite approximations of the matrix logarithm
- Algorithmic and optimization aspects of Brascamp-Lieb inequalities, via operator scaling
- Classical complexity and quantum entanglement
- Monotone metrics on matrix spaces
- Operator scaling: theory and applications
- The Bogoliubov inner product in quantum statistics
- Non-commutative Edmonds' problem and matrix semi-invariants
- Quantum information theory and quantum statistics.
- Dualistic differential geometry of positive definite matrices and its applications to related problems
- Positive Definite Matrices
- Matrix Nearness Problems with Bregman Divergences
- Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
- Two quantum analogues of Fisher information from a large deviation viewpoint of quantum estimation
- Statistical Manifolds Admitting Torsion and Partially Flat Spaces
- Editorial IMA IAI - Information and Inference special issue on optimal transport in data sciences
- Operator scaling via geodesically convex optimization, invariant theory and polynomial identity testing
- Operator scaling with specified marginals
- Data assimilation: The Schrödinger perspective
- Positive contraction mappings for classical and quantum Schrödinger systems
- A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices
- Conditional expectation in an operator algebra. IV. Entropy and information
- Introduction to matrix analysis and applications
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