
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
The matrix normal model, the family of Gaussian matrixvariate distribut...
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Developing an Underwater Network of Ocean Observation Systems with Digital Twin Prototypes – A Field Report from the Baltic Sea
During the research cruise AL547 with RV ALKOR (October 2031, 2020), a ...
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Polynomial time algorithms in invariant theory for torus actions
An action of a group on a vector space partitions the latter into a set ...
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Quantum algorithms for matrix scaling and matrix balancing
Matrix scaling and matrix balancing are two basic linearalgebraic probl...
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Maximum likelihood estimation for tensor normal models via castling transforms
In this paper, we study sample size thresholds for maximum likelihood es...
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Interiorpoint methods for unconstrained geometric programming and scaling problems
We provide a conditionbased analysis of two interiorpoint methods for ...
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Hyperpfaffians and Geometric Complexity Theory
The hyperpfaffian polynomial was introduced by Barvinok in 1995 as a nat...
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Towards a theory of noncommutative optimization: geodesic first and second order methods for moment maps and polytopes
This paper initiates a systematic development of a theory of noncommuta...
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A Quantum Multiparty Packing Lemma and the Relay Channel
Optimally encoding classical information in a quantum system is one of t...
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Efficient algorithms for tensor scaling, quantum marginals and moment polytopes
We present a polynomial time algorithm to approximately scale tensors of...
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Alternating minimization, scaling algorithms, and the nullcone problem from invariant theory
Alternating minimization heuristics seek to solve a (difficult) global o...
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Michael Walter
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