Robert J. Kunsch

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Uniform approximation of vectors using adaptive randomized information.
J. Approx. Theory
Robert J. Kunsch, Marcin Wnuk
2024 J jnl
Adaptive and non-adaptive randomized approximation of high-dimensional vectors.
CoRR
Robert J. Kunsch, Marcin Wnuk
2024 J jnl
Linear Monte Carlo quadrature with optimal confidence intervals.
J. Complex.
Robert J. Kunsch
2024 J jnl
Randomized approximation of summable sequences - adaptive and non-adaptive.
J. Approx. Theory
Robert J. Kunsch, Erich Novak, Marcin Wnuk
2024 J jnl
Uniform approximation of vectors using adaptive randomized information.
CoRR
Robert J. Kunsch, Marcin Wnuk
2023 J jnl
Linear Monte Carlo quadrature with optimal confidence intervals.
CoRR
Robert J. Kunsch
2023 J jnl
Randomized approximation of summable sequences - adaptive and non-adaptive.
CoRR
Robert J. Kunsch, Erich Novak, Marcin Wnuk
2020 J jnl
Expected dispersion of uniformly distributed points.
J. Complex.
Aicke Hinrichs, David Krieg, Robert J. Kunsch, Daniel Rudolf
2019 J jnl
Expected dispersion of uniformly distributed points.
CoRR
Aicke Hinrichs, David Krieg, Robert J. Kunsch, Daniel Rudolf
2019 J jnl
Optimal confidence for Monte Carlo integration of smooth functions.
Adv. Comput. Math.
Robert J. Kunsch, Daniel Rudolf
2019 J jnl
Solvable integration problems and optimal sample size selection.
J. Complex.
Robert J. Kunsch, Erich Novak, Daniel Rudolf
2019 J jnl
The difficulty of Monte Carlo approximation of multivariate monotone functions.
J. Approx. Theory
Robert J. Kunsch
2018 J jnl
Breaking the curse for uniform approximation in Hilbert spaces via Monte Carlo methods.
J. Complex.
Robert J. Kunsch
2018 J jnl
Monte Carlo methods for uniform approximation on periodic Sobolev spaces with mixed smoothness.
J. Complex.
Glenn Byrenheid, Robert J. Kunsch, Van Kien Nguyen
2014 — conf
Bernstein Numbers and Lower Bounds for the Monte Carlo Error.
MCQMC
Robert J. Kunsch