Bernstein Numbers and Lower Bounds for the Monte Carlo Error. - Robert J. Kunsch (MCQMC, 2014)

Monte Carlo methods for uniform approximation on periodic Sobolev spaces with mixed smoothness. - Glenn Byrenheid; Robert J. Kunsch; Van Kien Nguyen (J. Complex., 2018)

Breaking the curse for uniform approximation in Hilbert spaces via Monte Carlo methods. - Robert J. Kunsch (J. Complex., 2018)

Optimal confidence for Monte Carlo integration of smooth functions. - Robert J. Kunsch; Daniel Rudolf (Adv. Comput. Math., 2019)

The difficulty of Monte Carlo approximation of multivariate monotone functions. - Robert J. Kunsch (J. Approx. Theory, 2019)

Solvable integration problems and optimal sample size selection. - Robert J. Kunsch; Erich Novak; Daniel Rudolf (J. Complex., 2019)

Expected dispersion of uniformly distributed points. - Aicke Hinrichs; David Krieg 001; Robert J. Kunsch; Daniel Rudolf (J. Complex., 2020)

Uniform approximation of vectors using adaptive randomized information. - Robert J. Kunsch; Marcin Wnuk (CoRR, 2024)

Adaptive and non-adaptive randomized approximation of high-dimensional vectors. - Robert J. Kunsch; Marcin Wnuk (CoRR, 2024)

Randomized approximation of summable sequences - adaptive and non-adaptive. - Robert J. Kunsch; Erich Novak; Marcin Wnuk (J. Approx. Theory, 2024)

Linear Monte Carlo quadrature with optimal confidence intervals. - Robert J. Kunsch (J. Complex., 2024)