Tizian Wenzel, “Sharp inverse statements for kernel interpolation”, Math. Comp., 2025
E.D. Kosov, V.N. Temlyakov, “Bounds for the sampling discretization error and their applications to the universal sampling discretization”, Journal of Complexity, 90 (2025), 101958
Ying Huang, Liang Chen, “On the best n-term approximation for general Wiener-type spaces”, Int. J. Wavelets Multiresolut Inf. Process., 23:03 (2025)
András Kroó, “Christoffel functions, $L^p$ Markov inequalities and Marcinkiewicz-Zygmund type discretization for homogeneous polynomials on convex bodies”, Constr Approx, 2025
Egor Kosov, Vladimir Temlyakov, “Sampling discretization of the uniform norm and applications”, Journal of Mathematical Analysis and Applications, 538:2 (2024), 128431
Frank Filbir, Ralf Hielscher, Thomas Jahn, Tino Ullrich, “Marcinkiewicz–Zygmund inequalities for scattered and random data on the q-sphere”, Applied and Computational Harmonic Analysis, 71 (2024), 101651
И. В. Лимонова, Ю. В. Малыхин, В. Н. Темляков, “Односторонние неравенства дискретизации и восстановление по выборке”, УМН, 79:3(477) (2024), 149–180 ; I. V. Limonova, Yu. V. Malykhin, V. N. Temlyakov, “One-sided discretization inequalities and sampling recovery”, Russian Math. Surveys, 79:3 (2024), 515–545
Ben Adcock, Simone Brugiapaglia, Nick Dexter, Sebastian Moraga, Handbook of Numerical Analysis, 25, Numerical Analysis Meets Machine Learning, 2024, 1
András Kroó, “On Bernstein-Markov property for multivariate polynomials”, Journal of Mathematical Analysis and Applications, 2024, 129179
F. Dai, V. N. Temlyakov, “Universal Sampling Discretization”, Constr. Approx., 58 (2023), 589–613