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Function recovery in L2
David Krieg
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Near-optimal randomised error for lattice rules with random number of points and deterministic generating vectors
Dirk Nuyens
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Frames, designs, and discrete measures minimizing energy integrals
Dmitriy Bilyk
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Markov equivalence classes of directed acyclic graphs
Dominik Schmid
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Spherical convex hull of random points on a wedge
Elisabeth Werner
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On the reconstruction of functions from values at subsampled quadrature points
Felix Bartel
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An intrinsic volume metric on the class of convex bodies
Florian Besau
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Extremal non-central sections of the simplex and the cube
Hermann König
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High dimensional approximation and the curse of dimensionality
Ian Sloan
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Schur's multiplication theorem and lower bounds for numerical integration
Jan Vybiral
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Convex Geometry Based Guarantees for Low-rank Matrix Recovery with Adversarial Noise
Julia Kostin
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Consistency of randomized integration methods
Julian Hofstadler
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Average sparse approximation for signals with non-homogenous support distribution
Karin Schnass
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Infinite-Variate L2-Approximation Based on General Linear Information using Multilevel Strategies
Kumar Harsha
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Transforming approximation algorithms from the d-torus to other domains
Laura Lippert
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Sanov-type large deviations and conditional limit theorems for high-dimensional Orlicz balls
Lorenz Fruehwirth
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Which problems can be solved by randomized algorithms?
Marcin Wnuk
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Constructive subsampling of finite frames and applications in function recovery
Martin Schäfer
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Random approximation of convex bodies in Hausdorff distance
Mathias Sonnleitner
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Function Recovery and Numerical Integration on Hermite Spaces of Functions of Infinitely Many Variables
Michael Gnewuch
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Limit theorems for mixed-norm sequence spaces with applications to volume distribution
Michael L. Juhos
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On some properties of Euler scheme for DDEs and ODEs under nonstandard assumptions and noisy information
Natalia Czyżewska
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The Connection Between the Kadison-Singer Problem and Frame Theory
Nicolas Nagel
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Tractability of multivariate linear problems in the presence of noise–the worst case setting
Paweł Siedlecki
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The fast reduced QMC matrix-vector product
Peter Kritzer
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Randomization in inverse problems in Hilbert space
Peter Mathé
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How much randomness is needed for high-confidence Monte Carlo integration?
Robert J. Kunsch
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Equivalence of $L^2$-Approximation, as well as Integration, on Gaussian Spaces and on Hermite Spaces
Robin Rüßmann
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On the randomized complexity of parametric integration
Stefan Heinrich
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Coproximinality of linear subspaces in generalized Minkowski spaces
Thomas Jahn
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Adaptively chosen sampling points: Analysis of target data dependent greedy kernel algorithms
Tizian Wenzel
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Lp Markov exponent of certain UPC sets
Tomasz Beberok
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On optimality, stability, and exceptional sets of some randomized algorithms for ODEs
Tomasz Bochacik
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