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ORCIDLeszek Plaskota
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2020 – today
- 2023
[j39]Leszek Plaskota
, Pawel Siedlecki:
Worst case tractability of linear problems in the presence of noise: Linear information. J. Complex. 79: 101782 (2023)- [i6]Leszek Plaskota, Pawel Siedlecki:
Worst case tractability of linear problems in the presence of noise: linear information. CoRR abs/2303.16328 (2023) - 2022
- [j38]Leszek Plaskota, Pawel Samoraj:
Automatic approximation using asymptotically optimal adaptive interpolation. Numer. Algorithms 89(1): 277-302 (2022) - [i5]Leszek Plaskota, Pawel Przybylowicz, Lukasz T. Stepien:
Monte Carlo integration with adaptive variance reduction: an asymptotic analysis. CoRR abs/2206.03125 (2022) - 2020
- [j37]Peter Kritzer, Friedrich Pillichshammer, Leszek Plaskota, Grzegorz W. Wasilkowski:
On alternative quantization for doubly weighted approximation and integration over unbounded domains. J. Approx. Theory 256: 105433 (2020) - [j36]Leszek Plaskota, Pawel Siedlecki, Henryk Wozniakowski:
Absolute value information for IBC problems. J. Complex. 56 (2020) - [j35]Pawel M. Morkisz, Leszek Plaskota:
Complexity of approximating Hölder classes from information with varying Gaussian noise. J. Complex. 60: 101497 (2020) - [j34]Peter Kritzer, Friedrich Pillichshammer, Leszek Plaskota, Grzegorz W. Wasilkowski:
On efficient weighted integration via a change of variables. Numerische Mathematik 146(3): 545-570 (2020)
2010 – 2019
- 2019
- [i4]Peter Kritzer, Friedrich Pillichshammer, Leszek Plaskota, Grzegorz W. Wasilkowski:
On alternative quantization for doubly weighted approximation and integration over unbounded domains. CoRR abs/1907.04015 (2019) - 2017
- [j33]Frances Y. Kuo, Dirk Nuyens, Leszek Plaskota, Ian H. Sloan, Grzegorz W. Wasilkowski:
Infinite-dimensional integration and the multivariate decomposition method. J. Comput. Appl. Math. 326: 217-234 (2017) - 2016
- [j32]Frances Y. Kuo, Leszek Plaskota, Grzegorz W. Wasilkowski:
Optimal algorithms for doubly weighted approximation of univariate functions. J. Approx. Theory 201: 30-47 (2016) - [j31]Pawel M. Morkisz, Leszek Plaskota:
Approximation of piecewise Hölder functions from inexact information. J. Complex. 32(1): 122-136 (2016) - 2015
- [j30]Leszek Plaskota:
Automatic integration using asymptotically optimal adaptive Simpson quadrature. Numerische Mathematik 131(1): 173-198 (2015) - 2014
- [j29]Leszek Plaskota, Grzegorz W. Wasilkowski:
Efficient algorithms for multivariate and ∞-variate integration with exponential weight. Numer. Algorithms 67(2): 385-403 (2014) - [c3]Leszek Plaskota:
Continuous Problems: Optimality, Complexity, Tractability (Invited Talk). CASC 2014: 357-372 - 2013
- [j28]Leszek Plaskota, Grzegorz W. Wasilkowski, Yaxi Zhao:
An Adaptive Algorithm for Weighted Approximation of Singular Functions over R. SIAM J. Numer. Anal. 51(3): 1470-1493 (2013) - 2012
- [i3]Mark A. Kon, Leszek Plaskota:
On Some Integrated Approaches to Inference. CoRR abs/1212.1180 (2012) - 2011
- [j27]Thomas Müller-Gronbach, Leszek Plaskota, Wolfgang Ch. Schmid:
Guest Editors' Preface. J. Complex. 27(3-4): 263 (2011) - [j26]Leszek Plaskota, Grzegorz W. Wasilkowski:
Tractability of infinite-dimensional integration in the worst case and randomized settings. J. Complex. 27(6): 505-518 (2011)
2000 – 2009
- 2009
- [j25]Leszek Plaskota, Grzegorz W. Wasilkowski, Yaxi Zhao:
New averaging technique for approximating weighted integrals. J. Complex. 25(3): 268-291 (2009) - [e1]Thomas Müller-Gronbach, Leszek Plaskota, Joseph F. Traub:
Algorithms and Complexity for Continuous Problems, 20.09. - 25.09.2009. Dagstuhl Seminar Proceedings 09391, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [i2]Thomas Müller-Gronbach, Leszek Plaskota, Joseph F. Traub:
09391 Abstracts Collection - Algorithms and Complexity for Continuous Problems. Algorithms and Complexity for Continuous Problems 2009 - 2008
- [j24]Leszek Plaskota, Grzegorz W. Wasilkowski, Yaxi Zhao:
The power of adaption for approximating functions with singularities. Math. Comput. 77(264): 2309-2338 (2008) - [j23]Leszek Plaskota, Grzegorz W. Wasilkowski:
Uniform Approximation of Piecewise r-Smooth and Globally Continuous Functions. SIAM J. Numer. Anal. 47(1): 762-785 (2008) - 2007
- [j22]Boleslaw Z. Kacewicz, Leszek Plaskota, Grzegorz W. Wasilkowski:
Issue dedicated to Professor Henryk Wozniakowski. J. Complex. 23(4-6): 421-422 (2007) - 2006
- [j21]Leszek Plaskota, Ian H. Sloan:
Guest Editors' preface. J. Complex. 22(5) (2006) - 2005
- [j20]Mark A. Kon, Leszek Plaskota:
Information-based nonlinear approximation: an average case setting. J. Complex. 21(2): 211-229 (2005) - [j19]Leszek Plaskota, Grzegorz W. Wasilkowski:
Adaption allows efficient integration of functions with unknown singularities. Numerische Mathematik 102(1): 123-144 (2005) - [c2]Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski:
Statistical Likelihood Representations of Prior Knowledge in Machine Learning. Artificial Intelligence and Applications 2005: 467-472 - [c1]Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski:
Machine Learning and Statistical MAP Methods. Intelligent Information Systems 2005: 441-445 - 2004
- [j18]Leszek Plaskota, Klaus Ritter, Grzegorz W. Wasilkowski:
Optimal designs for weighted approximation and integration of stochastic processes on [0, infinity). J. Complex. 20(1): 108-131 (2004) - [j17]Leszek Plaskota, Klaus Ritter:
Guest Editors' Preface. J. Complex. 20(5): 592 (2004) - [j16]Piotr Gajda, Youming Li, Leszek Plaskota, Grzegorz W. Wasilkowski:
A Monte Carlo algorithm for weighted integration over Reald. Math. Comput. 73(246): 813-825 (2004) - [j15]Leszek Plaskota, Grzegorz W. Wasilkowski:
Smolyak's Algorithm for Integration and L1-Approximation of Multivariate Functions with Bounded Mixed Derivatives of Second Order. Numer. Algorithms 36(3): 229-246 (2004) - [i1]Leszek Plaskota:
Information-Based Nonlinear Approximation: An Average Case Setting. Algorithms and Complexity for Continuous Problems 2004 - 2002
- [j14]Leszek Plaskota, Klaus Ritter, Grzegorz W. Wasilkowski:
Average Case Complexity of Weighted Approximation and Integration over R+. J. Complex. 18(2): 517-544 (2002) - 2001
- [j13]Mark A. Kon, Leszek Plaskota:
Complexity of Neural Network Approximation with Limited Information: A Worst Case Approach. J. Complex. 17(2): 345-365 (2001) - [j12]Leszek Plaskota, Grzegorz W. Wasilkowski:
The Exact Exponent of Sparse Grid Quadratures in the Weighted Case. J. Complex. 17(4): 840-849 (2001) - 2000
- [j11]Leszek Plaskota:
The exponent of discrepancy of sparse grids is at least 2.1933. Adv. Comput. Math. 12(1): 3-24 (2000) - [j10]Mark A. Kon, Leszek Plaskota:
Information complexity of neural networks. Neural Networks 13(3): 365-375 (2000)
1990 – 1999
- 1996
- [b1]Leszek Plaskota:
Noisy information and computational complexity. Cambridge University Press 1996, ISBN 978-0-521-55368-1, pp. I-XI, 1-308 - [j9]Leszek Plaskota:
How to Benefit from Noise. J. Complex. 12(2): 175-184 (1996) - [j8]Leszek Plaskota:
Worst Case Complexity of Problems with Random Information Noise. J. Complex. 12(4): 416-439 (1996) - 1995
- [j7]Leszek Plaskota:
Average Complexity for Linear Problems in a Model with Varying Information Noise. J. Complex. 11(2): 240-264 (1995) - 1993
- [j6]Boleslaw Z. Kacewicz, Leszek Plaskota:
The Minimal Cost of Approximating Linear Operators Using Perturbed Information-The Asymptotic Setting. J. Complex. 9(1): 113-134 (1993) - [j5]Leszek Plaskota:
A Note on Varying Cardinality in the Average Case Setting. J. Complex. 9(4): 458-470 (1993) - 1992
- [j4]Leszek Plaskota:
Function approximation and integration on the wiener space with noisy data. J. Complex. 8(3): 301-323 (1992) - 1991
- [j3]Boleslaw Z. Kacewicz, Leszek Plaskota:
Noisy information for linear problems in the asymptotic setting. J. Complex. 7(1): 35-57 (1991) - 1990
- [j2]Leszek Plaskota:
On average case complexity of linear problems with noisy information. J. Complex. 6(2): 199-230 (1990)
1980 – 1989
- 1989
- [j1]Leszek Plaskota:
Asymptotic error for the global maximum of functions in s dimensions. J. Complex. 5(3): 369-378 (1989)
Coauthor Index
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