Lutz Kämmerer, Tino Ullrich, Toni Volkmer, “Worst-case Recovery Guarantees for Least Squares Approximation Using Random Samples”, Constr Approx, 54:2 (2021), 295
V. Temlyakov, T. Ullrich, “Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness”, J. Complexity, 67 (2021), 101575–19
F. Dai, A. Prymak, A. Shadrin, V. Temlyakov, S. Tikhonov, “Sampling discretization of integral norms”, Constr. Approx., 54:3 (2021), 455–471
Moritz Moeller, Tino Ullrich, “$L_2$-norm sampling discretization and recovery of functions from RKHS with finite trace”, Sampl. Theory Signal Process. Data Anal., 19:2 (2021)
В. Н. Темляков, “Дискретизация интегральных норм полиномов с гармониками из гиперболического креста по значениям в точках”, Труды МИАН, 312 (2021), 282–293 ; V. N. Temlyakov, “Sampling Discretization of Integral Norms of the Hyperbolic Cross Polynomials”, Proc. Steklov Inst. Math., 312 (2021), 270–281
F. Dai, A. Prymak, A. Shadrin, V. Temlyakov, S. Tikhonov, “Entropy numbers and Marcinkiewicz-type discretization”, J. Funct. Anal., 281:6 (2021), 109090–25
V. Temlyakov, “On optimal recovery in $L_2$”, J. Complexity, 65 (2021), 101545–0
Albert Cohen, Wolfgang Dahmen, Ronald DeVore, James Nichols, “Reduced Basis Greedy Selection Using Random Training Sets”, ESAIM: M2AN, 54:5 (2020), 1509
Vladimir Temlyakov, “Connections between numerical integration, discrepancy, dispersion, and universal discretization”, The SMAI Journal of computational mathematics, S5 (2020), 185
Ф. Дай, А. Примак, В. Н. Темляков, С. Ю. Тихонов, “Дискретизация интегральной нормы и близкие задачи”, УМН, 74:4(448) (2019), 3–58 ; F. Dai, A. Prymak, V. N. Temlyakov, S. Yu. Tikhonov, “Integral norm discretization and related problems”, Russian Math. Surveys, 74:4 (2019), 579–630