Asymptotic error for the global maximum of functions in s dimensions. - Leszek Plaskota (J. Complex., 1989)

On average case complexity of linear problems with noisy information. - Leszek Plaskota (J. Complex., 1990)

Noisy information for linear problems in the asymptotic setting. - Boleslaw Z. Kacewicz; Leszek Plaskota (J. Complex., 1991)

Function approximation and integration on the wiener space with noisy data. - Leszek Plaskota (J. Complex., 1992)

The Minimal Cost of Approximating Linear Operators Using Perturbed Information-The Asymptotic Setting. - Boleslaw Z. Kacewicz; Leszek Plaskota (J. Complex., 1993)

A Note on Varying Cardinality in the Average Case Setting. - Leszek Plaskota (J. Complex., 1993)

Average Complexity for Linear Problems in a Model with Varying Information Noise. - Leszek Plaskota (J. Complex., 1995)

Noisy information and computational complexity. - Leszek Plaskota (Cambridge University Press, 1996)

How to Benefit from Noise. - Leszek Plaskota (J. Complex., 1996)

Worst Case Complexity of Problems with Random Information Noise. - Leszek Plaskota (J. Complex., 1996)

The exponent of discrepancy of sparse grids is at least 2.1933. - Leszek Plaskota (Adv. Comput. Math., 2000)

Information complexity of neural networks. - Mark A. Kon; Leszek Plaskota (Neural Networks, 2000)

Complexity of Neural Network Approximation with Limited Information: A Worst Case Approach. - Mark A. Kon; Leszek Plaskota (J. Complex., 2001)

The Exact Exponent of Sparse Grid Quadratures in the Weighted Case. - Leszek Plaskota; Grzegorz W. Wasilkowski (J. Complex., 2001)

Average Case Complexity of Weighted Approximation and Integration over R+. - Leszek Plaskota; Klaus Ritter 001; Grzegorz W. Wasilkowski (J. Complex., 2002)

Information-Based Nonlinear Approximation: An Average Case Setting. - Leszek Plaskota (Algorithms and Complexity for Continuous Problems, 2004)

Guest Editors' Preface. - Leszek Plaskota; Klaus Ritter 001 (J. Complex., 2004)

Optimal designs for weighted approximation and integration of stochastic processes on [0, infinity). - Leszek Plaskota; Klaus Ritter 001; Grzegorz W. Wasilkowski (J. Complex., 2004)

A Monte Carlo algorithm for weighted integration over Reald. - Piotr Gajda; Youming Li; Leszek Plaskota; Grzegorz W. Wasilkowski (Math. Comput., 2004)

Smolyak's Algorithm for Integration and L1-Approximation of Multivariate Functions with Bounded Mixed Derivatives of Second Order. - Leszek Plaskota; Grzegorz W. Wasilkowski (Numer. Algorithms, 2004)

Statistical Likelihood Representations of Prior Knowledge in Machine Learning. - Mark A. Kon; Leszek Plaskota; Andrzej W. Przybyszewski (Artificial Intelligence and Applications, 2005)

Machine Learning and Statistical MAP Methods. - Mark A. Kon; Leszek Plaskota; Andrzej W. Przybyszewski (Intelligent Information Systems, 2005)

Information-based nonlinear approximation: an average case setting. - Mark A. Kon; Leszek Plaskota (J. Complex., 2005)

Adaption allows efficient integration of functions with unknown singularities. - Leszek Plaskota; Grzegorz W. Wasilkowski (Numerische Mathematik, 2005)

Guest Editors' preface. - Leszek Plaskota; Ian H. Sloan (J. Complex., 2006)

Issue dedicated to Professor Henryk Wozniakowski. - Boleslaw Z. Kacewicz; Leszek Plaskota; Grzegorz W. Wasilkowski (J. Complex., 2007)

The power of adaption for approximating functions with singularities. - Leszek Plaskota; Grzegorz W. Wasilkowski; Yaxi Zhao (Math. Comput., 2008)

Uniform Approximation of Piecewise r-Smooth and Globally Continuous Functions. - Leszek Plaskota; Grzegorz W. Wasilkowski (SIAM J. Numer. Anal., 2008)

09391 Abstracts Collection - Algorithms and Complexity for Continuous Problems. - Thomas Müller-Gronbach; Leszek Plaskota; Joseph F. Traub (Algorithms and Complexity for Continuous Problems, 2009)

New averaging technique for approximating weighted integrals. - Leszek Plaskota; Grzegorz W. Wasilkowski; Yaxi Zhao (J. Complex., 2009)

Guest Editors' Preface. - Thomas Müller-Gronbach; Leszek Plaskota; Wolfgang Ch. Schmid (J. Complex., 2011)

Tractability of infinite-dimensional integration in the worst case and randomized settings. - Leszek Plaskota; Grzegorz W. Wasilkowski (J. Complex., 2011)

On Some Integrated Approaches to Inference - Mark A. Kon; Leszek Plaskota (CoRR, 2012)

An Adaptive Algorithm for Weighted Approximation of Singular Functions over R. - Leszek Plaskota; Grzegorz W. Wasilkowski; Yaxi Zhao (SIAM J. Numer. Anal., 2013)

Continuous Problems: Optimality, Complexity, Tractability (Invited Talk). - Leszek Plaskota (CASC, 2014)

Efficient algorithms for multivariate and ∞-variate integration with exponential weight. - Leszek Plaskota; Grzegorz W. Wasilkowski (Numer. Algorithms, 2014)

Automatic integration using asymptotically optimal adaptive Simpson quadrature. - Leszek Plaskota (Numerische Mathematik, 2015)

Optimal algorithms for doubly weighted approximation of univariate functions. - Frances Y. Kuo; Leszek Plaskota; Grzegorz W. Wasilkowski (J. Approx. Theory, 2016)

Approximation of piecewise Hölder functions from inexact information. - Pawel M. Morkisz; Leszek Plaskota (J. Complex., 2016)

Infinite-dimensional integration and the multivariate decomposition method. - Frances Y. Kuo; Dirk Nuyens; Leszek Plaskota; Ian H. Sloan; Grzegorz W. Wasilkowski (J. Comput. Appl. Math., 2017)

On alternative quantization for doubly weighted approximation and integration over unbounded domains. - Peter Kritzer; Friedrich Pillichshammer; Leszek Plaskota; Grzegorz W. Wasilkowski (J. Approx. Theory, 2020)

Complexity of approximating Hölder classes from information with varying Gaussian noise. - Pawel M. Morkisz; Leszek Plaskota (J. Complex., 2020)

Absolute value information for IBC problems. - Leszek Plaskota; Pawel Siedlecki; Henryk Wozniakowski (J. Complex., 2020)

On efficient weighted integration via a change of variables. - Peter Kritzer; Friedrich Pillichshammer; Leszek Plaskota; Grzegorz W. Wasilkowski (Numerische Mathematik, 2020)

Monte Carlo integration with adaptive variance reduction: an asymptotic analysis. - Leszek Plaskota; Pawel Przybylowicz; Lukasz T. Stepien (CoRR, 2022)

Automatic approximation using asymptotically optimal adaptive interpolation. - Leszek Plaskota; Pawel Samoraj (Numer. Algorithms, 2022)

Worst case tractability of linear problems in the presence of noise: Linear information. - Leszek Plaskota; Pawel Siedlecki (J. Complex., 2023)