scientific article; zbMATH DE number 7626758
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Publication date: 6 December 2022
Full work available at URL: https://arxiv.org/abs/2104.02865
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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- Constructing Sobol Sequences with Better Two-Dimensional Projections
- A Stochastic Quasi-Newton Method for Large-Scale Optimization
- Bayesian inference with optimal maps
- Local antithetic sampling with scrambled nets
- Scrambled net variance for integrals of smooth functions
- On the asymptotic distribution of scrambled net quadrature.
- On the variance of quadrature over scrambled nets and sequences
- Backfitting for large scale crossed random effects regressions
- Asymptotic normality of scrambled geometric net quadrature
- A panorama of discrepancy theory
- Weighted sums of certain dependent random variables
- Discrépance de suites associées à un système de numération (en dimension s)
- Updating Quasi-Newton Matrices with Limited Storage
- Randomization of Number Theoretic Methods for Multiple Integration
- Monte Carlo Variance of Scrambled Net Quadrature
- First-Order Methods in Optimization
- Optimization Methods for Large-Scale Machine Learning
- A Strong Law of Large Numbers for Scrambled Net Integration
- A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization
- Analysis of the BFGS Method with Errors
- An Introduction to Variational Autoencoders
- Scalable inference for crossed random effects models
- Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization
- Multidimensional Variation for Quasi-Monte Carlo
- High-dimensional integration: The quasi-Monte Carlo way
