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ORCIDVladimir N. Temlyakov
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- affiliation: Department of Mathematics, University of South Carolina, USA
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Journal Articles
- 2023
[j42]Vladimir N. Temlyakov:
Sampling discretization error of integral norms for function classes with small smoothness. J. Approx. Theory 293: 105913 (2023)- [j41]Feng Dai, A. V. Prymak, A. Shadrin, Vladimir N. Temlyakov, Sergey Tikhonov:
On the cardinality of lower sets and universal discretization. J. Complex. 76: 101726 (2023) - 2022
- [j40]Vladimir N. Temlyakov, Tino Ullrich
:
Approximation of functions with small mixed smoothness in the uniform norm. J. Approx. Theory 277: 105718 (2022) - [j39]Boris S. Kashin, Egor D. Kosov, Irina V. Limonova, Vladimir N. Temlyakov:
Sampling discretization and related problems. J. Complex. 71: 101653 (2022) - 2021
- [j38]Vladimir N. Temlyakov:
On optimal recovery in L2. J. Complex. 65: 101545 (2021) - [j37]Vladimir N. Temlyakov, Tino Ullrich:
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness. J. Complex. 67: 101575 (2021) - 2020
- [j36]Leyla Burusheva, Vladimir N. Temlyakov:
Sparse approximation of individual functions. J. Approx. Theory 259: 105471 (2020) - [j35]Vladimir N. Temlyakov, Mario Ullrich:
On the fixed volume discrepancy of the Fibonacci sets in the integral norms. J. Complex. 61: 101472 (2020) - 2019
- [j34]Vladimir N. Temlyakov:
Smooth fixed volume discrepancy, dispersion, and related problems. J. Approx. Theory 237: 113-134 (2019) - [j33]Vladimir N. Temlyakov:
Sampling discretization error of integral norms for function classes. J. Complex. 54 (2019) - 2018
- [j32]Vladimir N. Temlyakov:
Universal discretization. J. Complex. 47: 97-109 (2018) - 2017
- [j31]Vladimir N. Temlyakov:
On the entropy numbers of the mixed smoothness function classes. J. Approx. Theory 217: 26-56 (2017) - 2016
- [j30]Ronald A. DeVore, Vladimir N. Temlyakov:
Convex Optimization on Banach Spaces. Found. Comput. Math. 16(2): 369-394 (2016) - 2015
- [j29]Daurenbek Bazarkhanov, Vladimir N. Temlyakov:
Nonlinear tensor product approximation of functions. J. Complex. 31(6): 867-884 (2015) - 2014
- [j28]Eugene D. Livshitz, Vladimir N. Temlyakov:
Sparse Approximation and Recovery by Greedy Algorithms. IEEE Trans. Inf. Theory 60(7): 3989-4000 (2014) - 2013
- [j27]Vladimir N. Temlyakov:
An inequality for the entropy numbers and its application. J. Approx. Theory 173: 110-121 (2013) - [j26]Daniel Savu, Vladimir N. Temlyakov:
Lebesgue-Type Inequalities for Greedy Approximation in Banach Spaces. IEEE Trans. Inf. Theory 59(2): 1098-1106 (2013) - 2012
- [j25]Entao Liu, Vladimir N. Temlyakov:
Super greedy type algorithms. Adv. Comput. Math. 37(4): 493-504 (2012) - [j24]Dmitriy Bilyk, Vladimir N. Temlyakov, Rui Yu:
Fibonacci sets and symmetrization in discrepancy theory. J. Complex. 28(1): 18-36 (2012) - [j23]Entao Liu, Vladimir N. Temlyakov:
The Orthogonal Super Greedy Algorithm and Applications in Compressed Sensing. IEEE Trans. Inf. Theory 58(4): 2040-2047 (2012) - 2011
- [j22]Vladimir N. Temlyakov, Mingrui Yang, Peixin Ye:
Greedy approximation with regard to non-greedy bases. Adv. Comput. Math. 34(3): 319-337 (2011) - [j21]Vladimir N. Temlyakov, Pavel Zheltov:
On performance of greedy algorithms. J. Approx. Theory 163(9): 1134-1145 (2011) - [j20]J. L. Nelson, Vladimir N. Temlyakov:
On the size of incoherent systems. J. Approx. Theory 163(9): 1238-1245 (2011) - 2007
- [j19]Vladimir N. Temlyakov:
Greedy expansions in Banach spaces. Adv. Comput. Math. 26(4): 431-449 (2007) - [j18]David L. Donoho, Michael Elad, Vladimir N. Temlyakov:
On Lebesgue-type inequalities for greedy approximation. J. Approx. Theory 147(2): 185-195 (2007) - 2006
- [j17]Dany Leviatan, Vladimir N. Temlyakov:
Simultaneous approximation by greedy algorithms. Adv. Comput. Math. 25(1-3): 73-90 (2006) - [j16]Ronald A. DeVore, Gerard Kerkyacharian, Dominique Picard, Vladimir N. Temlyakov:
Approximation Methods for Supervised Learning. Found. Comput. Math. 6(1): 3-58 (2006) - [j15]David L. Donoho, Michael Elad, Vladimir N. Temlyakov:
Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inf. Theory 52(1): 6-18 (2006) - 2005
- [j14]Dany Leviatan, Vladimir N. Temlyakov:
Simultaneous greedy approximation in Banach spaces. J. Complex. 21(3): 275-293 (2005) - [j13]Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Vladimir N. Temlyakov:
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions. J. Mach. Learn. Res. 6: 1297-1321 (2005) - 2003
- [j12]Vladimir N. Temlyakov:
Nonlinear Methods of Approximation. Found. Comput. Math. 3(1): 33-107 (2003) - [j11]Ronald A. DeVore, Guergana Petrova, Vladimir N. Temlyakov:
Best Basis Selection for Approximation in Lp. Found. Comput. Math. 3(2): 161-185 (2003) - [j10]Vladimir N. Temlyakov:
Cubature formulas, discrepancy, and nonlinear approximation. J. Complex. 19(3): 352-391 (2003) - [j9]Adam Lutoborski, Vladimir N. Temlyakov:
Vector greedy algorithms. J. Complex. 19(4): 458-473 (2003) - 2002
- [j8]Vladimir N. Temlyakov:
A Criterion for Convergence of Weak Greedy Algorithms. Adv. Comput. Math. 17(3): 269-280 (2002) - 2001
- [j7]Vladimir N. Temlyakov:
Greedy algorithms in Banach spaces. Adv. Comput. Math. 14(3): 277-292 (2001) - 2000
- [j6]Vladimir N. Temlyakov:
Weak greedy algorithms. Adv. Comput. Math. 12(2-3): 213-227 (2000) - 1998
- [j5]Vladimir N. Temlyakov:
The best m-term approximation and greedy algorithms. Adv. Comput. Math. 8(3): 249-265 (1998) - 1997
- [j4]Ronald A. DeVore, Vladimir N. Temlyakov:
Nonlinear Approximation in Finite-Dimensional Spaces. J. Complex. 13(4): 489-508 (1997) - 1996
- [j3]Ronald A. DeVore, Vladimir N. Temlyakov:
Some remarks on greedy algorithms. Adv. Comput. Math. 5(1): 173-187 (1996) - 1995
- [j2]Vladimir N. Temlyakov:
An Inequality for Trigonometric Polynomials and Its Application for Estimating the Entropy Numbers. J. Complex. 11(2): 293-307 (1995) - 1993
- [j1]Vladimir N. Temlyakov:
On Approximate Recovery of Functions with Bounded Mixed Derivative. J. Complex. 9(1): 41-59 (1993)
Conference and Workshop Papers
- 2014
- [c2]Vladimir N. Temlyakov:
Greedy algorithms in convex optimization on Banach spaces. ACSSC 2014: 1331-1335 - [c1]Vladimir N. Temlyakov:
Incremental Greedy Algorithm and Its Applications in Numerical Integration. MCQMC 2014: 557-570
Informal and Other Publications
- 2024
- [i28]Irina V. Limonova, Yuri Malykhin, Vladimir N. Temlyakov:
One-sided discretization inequalities and sampling recovery. CoRR abs/2402.00848 (2024) - 2023
- [i27]Feng Dai, Vladimir N. Temlyakov:
Universal discretization and sparse sampling recovery. CoRR abs/2301.05962 (2023) - [i26]Feng Dai, Vladimir N. Temlyakov:
Random points are good for universal discretization. CoRR abs/2301.12536 (2023) - [i25]Vladimir N. Temlyakov:
On the rate of convergence of greedy algorithms. CoRR abs/2304.06423 (2023) - [i24]Vladimir N. Temlyakov:
Rate of convergence of Thresholding Greedy Algorithms. CoRR abs/2304.09586 (2023) - [i23]Egor D. Kosov, Vladimir N. Temlyakov:
Sampling discretization of the uniform norm and applications. CoRR abs/2306.14207 (2023) - [i22]Vladimir N. Temlyakov:
On universal sampling recovery in the uniform norm. CoRR abs/2307.04017 (2023) - [i21]Feng Dai, Vladimir N. Temlyakov:
Lebesgue-type inequalities in sparse sampling recovery. CoRR abs/2307.04161 (2023) - [i20]Egor D. Kosov, Vladimir N. Temlyakov:
Bounds for the sampling discretization error and their applications to universal sampling discretization. CoRR abs/2312.05670 (2023) - 2022
- [i19]Vladimir N. Temlyakov:
On universal sampling representation. CoRR abs/2201.00415 (2022) - [i18]Vladimir N. Temlyakov:
Sampling discretization error of integral norms for function classes with small smoothness. CoRR abs/2203.07126 (2022) - [i17]Feng Dai, A. V. Prymak, A. Shadrin, Vladimir N. Temlyakov, Sergey Tikhonov:
On cardinality of the lower sets and universal discretization. CoRR abs/2208.02113 (2022) - [i16]Feng Dai, Egor D. Kosov, Vladimir N. Temlyakov:
Some improved bounds in sampling discretization of integral norms. CoRR abs/2208.09762 (2022) - 2021
- [i15]Boris S. Kashin, Vladimir N. Temlyakov:
A remark on discretization of the uniform norm. CoRR abs/2104.01229 (2021) - [i14]Feng Dai, Vladimir N. Temlyakov:
Universal sampling discretization. CoRR abs/2107.11476 (2021) - [i13]Feng Dai, Vladimir N. Temlyakov:
Sampling discretization of integral norms and its application. CoRR abs/2109.09030 (2021) - 2020
- [i12]Anton Dereventsov, Vladimir N. Temlyakov:
Biorthogonal greedy algorithms in convex optimization. CoRR abs/2001.05530 (2020) - [i11]Feng Dai, Andriy Prymak, A. Shadrin, Vladimir N. Temlyakov, S. Yu. Tikhonov:
Sampling discretization of integral norms. CoRR abs/2001.09320 (2020) - [i10]A. S. Rubtsova, K. S. Ryutin, Vladimir N. Temlyakov:
On the fixed volume discrepancy of the Korobov point sets. CoRR abs/2003.07234 (2020) - [i9]Vladimir N. Temlyakov:
Numerical integration without smoothness assumption. CoRR abs/2003.14331 (2020) - [i8]Vladimir N. Temlyakov:
Sampling discretization of integral norms of the hyperbolic cross polynomials. CoRR abs/2005.05967 (2020) - [i7]Vladimir N. Temlyakov:
A remark on entropy numbers. CoRR abs/2008.13030 (2020) - [i6]Irina V. Limonova, Vladimir N. Temlyakov:
On sampling discretization in L2. CoRR abs/2009.10789 (2020) - [i5]Vladimir N. Temlyakov:
On optimal recovery in L2. CoRR abs/2010.03103 (2020) - [i4]Vladimir N. Temlyakov, Tino Ullrich:
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness. CoRR abs/2012.09925 (2020) - [i3]Vladimir N. Temlyakov, Tino Ullrich:
Approximation of functions with small mixed smoothness in the uniform norm. CoRR abs/2012.11983 (2020) - 2019
- [i2]Vladimir N. Temlyakov, Mario Ullrich:
On the fixed volume discrepancy of the Fibonacci sets in the integral norms. CoRR abs/1908.04658 (2019) - [i1]Leyla Burusheva, Vladimir N. Temlyakov:
Sparse approximation of individual functions. CoRR abs/1911.02593 (2019)
Coauthor Index
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