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Funktionen von beschränkter Variatiou in der Theorie der Gleichverteilung
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Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
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Adaptive sized Quasi-Monte Carlo based yield aware analog circuit optimization tool
inferred← citeshttps://doi.org/10.1111/cgf.13366openalex-snapshot
Sequences with Low‐Discrepancy Blue‐Noise 2‐D Projections
inferred← citeshttps://doi.org/10.1137/060666639openalex-snapshot
Walsh Spaces Containing Smooth Functions and Quasi–Monte Carlo Rules of Arbitrary High Order
inferred← citeshttps://doi.org/10.1137/1010056openalex-snapshot
The Mathematical Basis of Monte Carlo and Quasi-Monte Carlo Methods
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A Retrospective and Prospective Survey of the Monte Carlo Method
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Numerical Evaluation of Multiple Integrals
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Quasi-Random Methods for Estimating Integrals Using Relatively Small Samples
inferred← citeshttps://doi.org/10.1137/16m1066312openalex-snapshot
Cubature, Approximation, and Isotropy in the Hypercube
inferred← citeshttps://doi.org/10.1137/s1064827599356638openalex-snapshot
Extensible Lattice Sequences for Quasi-Monte Carlo Quadrature
inferred← citeshttps://doi.org/10.1145/1391469.1391645openalex-snapshot
Efficient Monte Carlo based incremental statistical timing analysis
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Algorithm 647: Implementation and Relative Efficiency of Quasirandom Sequence Generators
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Constructing low star discrepancy point sets with genetic algorithms
inferred← citeshttps://doi.org/10.1145/2980179.2980218openalex-snapshot
Low-discrepancy blue noise sampling
inferred← citeshttps://doi.org/10.1145/3386569.3392395openalex-snapshot
Sliced optimal transport sampling
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Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
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Expected Star Discrepancy Bound for Repeated Jittered Sampling
inferred← citeshttps://doi.org/10.1145/3799902.3811140openalex-snapshot
Gradient-based Approximation of Nonuniform Low-Discrepancy Samples
inferred← citeshttps://doi.org/10.1145/945511.945518openalex-snapshot
Variance with alternative scramblings of digital nets
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Analytical variation in the generalization of deep feed-forward neural networks
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Local antithetic sampling with scrambled nets
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Discrepancy bounds for a class of negatively dependent random points including Latin hypercube samples
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Estimating Network Characteristics in Stochastic Activity Networks
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Quasi-Monte Carlo Methods in Numerical Finance
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Functional Optimization Through Semilocal Approximate Minimization
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Quasi-Probability: Why quasi-Monte-Carlo methods are statistically valid and how their errors can be estimated statistically
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