V Temlyakov, “Sparse sampling recovery by greedy algorithms”, IMA Journal of Numerical Analysis, 2025
David Krieg, Kateryna Pozharska, Mario Ullrich, Tino Ullrich, “Sampling recovery in 𝐿₂ and other norms”, Math. Comp., 2025
Yurii Kolomoitsev, Segey Tikhonov, “Marcinkiewicz–Zygmund inequalities in quasi-Banach function spaces”, Journal of Complexity, 2025, 101999
Roxana-Maria Motorga, Vlad Muresan, Mihail Abrudean, Honoriu Valean, Iulia Stefan, Mihaela Unguresan, 2025 29th International Conference on System Theory, Control and Computing (ICSTCC), 2025, 893
Egor Kosov, Vladimir Temlyakov, “Sampling discretization of the uniform norm and applications”, Journal of Mathematical Analysis and Applications, 538:2 (2024), 128431
Alexandros Eskenazis, “$\varepsilon $-Isometric Dimension Reduction for Incompressible Subsets of $\ell _p$”, Discrete Comput Geom, 71:1 (2024), 160
F. Dai, V. Temlyakov, “Random points are good for universal discretization”, J. Math. Anal. Appl., 529:1 (2024), 127570–28
Ben Adcock, Simone Brugiapaglia, Nick Dexter, Sebastian Moraga, Handbook of Numerical Analysis, 25, Numerical Analysis Meets Machine Learning, 2024, 1
I. V. Limonova, Yu. V. Malykhin, V. N. Temlyakov, “One-sided discretization inequalities and recovery from samples”, Uspekhi Mat. Nauk, 79:3 (2024), 149–180
V. N. Temlyakov, “Sparse sampling recovery in integral norms on some function classes”, Mat. Sb., 215:10 (2024), 146–166