Journal of Complexity

Papers
(The median citation count of Journal of Complexity is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
Computing Approximate Roots of Monotone Functions38
Enhancing the applicability of Chebyshev-like method28
Editorial Board23
On the complexity of Putinar–Vasilescu's Positivstellensatz23
On the complexity of fitted toral dynamics22
Bounds for discrepancies in the Hamming space19
Kolmogorov widths of intersections of finite-dimensional balls17
Editorial Board14
Central Limit Theorem for the volume of the zero set of Kostlan-Shub-Smale random polynomial systems14
Bit-complexity of classical solutions of linear evolutionary systems of partial differential equations13
Editorial Board12
Nominations for 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award10
Optimal recovery and generalized Carlson inequality for weights with symmetry properties9
Changes of the Editorial Board9
Best Paper Award of the Journal of Complexity9
On negative dependence properties of Latin hypercube samples and scrambled nets8
Editorial Board8
Heuristic approaches to obtain low-discrepancy point sets via subset selection8
Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems8
Radius of information for two intersected centered hyperellipsoids and implications in optimal recovery from inaccurate data8
Changes of the Editorial Board7
Editorial Board7
Matrix and tensor rigidity and L-approximation6
Sampling numbers of smoothness classes via ℓ1-minimization6
Nonlinear Tikhonov regularization in Hilbert scales for inverse learning6
Nominations for 2022 Joseph F. Traub Information-Based Complexity Young Researcher Award6
Optimal subsampling for least absolute relative error estimators with massive data6
On the cardinality of lower sets and universal discretization6
Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality6
On the complexity of convergence for high order iterative methods5
Approximating smooth and sparse functions by deep neural networks: Optimal approximation rates and saturation5
On the complexity of a unified convergence analysis for iterative methods5
Editorial Board5
High-order lifting for polynomial Sylvester matrices4
On the approximation of vector-valued functions by volume sampling4
A closer look at covering number bounds for Gaussian kernels4
Discrepancy bounds for normal numbers generated by necklaces in arbitrary base4
High probability bounds on AdaGrad for constrained weakly convex optimization4
Optimal pointwise sampling for L2 approximation4
On the power of standard information for tractability for L2-approximation in the average case setting4
A continuous characterization of PSPACE using polynomial ordinary differential equations4
Weaker convergence criteria for Traub's method3
Function values are enough for L2-approximation: Part II3
Optimal recovery and volume estimates3
Noisy polynomial interpolation modulo prime powers3
Editorial Board3
On the power of standard information for tractability for L∞ approximation of periodic functions in the worst case setting3
Space-filling designs on Riemannian manifolds3
Random-prime–fixed-vector randomised lattice-based algorithm for high-dimensional integration3
Convergence analysis of iteratively regularized Landweber iteration with uniformly convex constraints in Banach spaces3
Tractability for Volterra problems of the second kind with convolution kernels3
Editorial Board3
On oracle factoring of integers3
Convergence of the Gauss-Newton method for convex composite optimization problems under majorant condition on Riemannian manifolds3
Lower bounds for integration and recovery in L23
Countable tensor products of Hermite spaces and spaces of Gaussian kernels3
Worst case tractability of linear problems in the presence of noise: Linear information3
The area of empty axis-parallel boxes amidst 2-dimensional lattice points3
On a central algorithm for calculation of the inverse of the harmonic oscillator in the spaces of orbits3
A generative model for fBm with deep ReLU neural networks3
A unified treatment of tractability for approximation problems defined on Hilbert spaces2
On the relation of the spectral test to isotropic discrepancy and L-approximation in Sobolev spaces2
Convergence rates of support vector machines regression for functional data2
Approximation by quasi-interpolation operators and Smolyak's algorithm2
Estimates for n-widths of sets of smooth functions on complex spheres2
Improved dispersion bounds for modified Fibonacci lattices2
Kateryna Pozharska is the winner of the 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award2
Average case tractability of non-homogeneous tensor product problems with the absolute error criterion2
Changes of the Editorial Board2
Editorial Board2
A quasi-Monte Carlo data compression algorithm for machine learning2
Editorial Board2
The VC-dimension of axis-parallel boxes on the Torus2
Online gradient descent algorithms for functional data learning2
A note on Korobov lattice rules for integration of analytic functions2
Editorial Board2
Approximation in periodic Gevrey spaces2
The minimal radius of Galerkin information for the problem of numerical differentiation2
The BMO-discrepancy suffers from the curse of dimensionality2
Lower bounds of cowidths and widths of multiplier operators2
Randomized complexity of parametric integration and the role of adaption I. Finite dimensional case2
Sharp estimates for the covering numbers of the Weierstrass fractal kernel2
On a partition with a lower expected L22
On regularized polynomial functional regression2
Central Limit Theorem for (t,s)-sequences in base 22
A note on (s,t2
Editorial Board2
On the information complexity for integration in subspaces of the Wiener algebra2
A simplified iteratively regularized projection method for nonlinear ill-posed problems2
An elementary proof of a lower bound for the inverse of the star discrepancy2
Convergence analysis of an optimally accurate frozen multi-level projected steepest descent iteration for solving inverse problems1
Rates of approximation by ReLU shallow neural networks1
New bounds on the minimal dispersion1
Multi-task Learning in vector-valued reproducing kernel Banach spaces with the1
No existence of a linear algorithm for the one-dimensional Fourier phase retrieval1
Randomized complexity of mean computation and the adaption problem1
On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient1
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness1
Tractability of L2-approximation and integration in weighted Hermite spaces of finite smoothness1
Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization1
Fast computation of generic bivariate resultants1
On optimal recovery in L21
Journal of Complexity Best Paper Award1
The radii of sections of origin-symmetric convex bodies and their applications1
Tamed-adaptive Euler-Maruyama approximation for SDEs with superlinearly growing and piecewise continuous drift, superlinearly growing and locally Hölder continuous diffusion1
Randomized complexity of parametric integration and the role of adaption II. Sobolev spaces1
Best Paper Award of the Journal of Complexity1
On the expected number of real roots of polynomials and exponential sums1
Sharp lower bounds on the manifold widths of Sobolev and Besov spaces1
A note on EC-tractability of multivariate approximation in weighted Korobov spaces for the standard information class1
Star discrepancy subset selection: Problem formulation and efficient approaches for low dimensions1
Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces1
Complexity for a class of elliptic ordinary integro-differential equations1
David Krieg is the winner of the 2024 Joseph F. Traub Prize for Achievement in Information-Based Complexity1
Editorial Board1
EC-(t1,t2)-tractability of approximation in weighted Korobov spaces in the worst case setting1
Changes of the Editorial Board1
Matthieu Dolbeault is the winner of the 2024 Joseph F. Traub Information-Based Complexity Young Researcher Award1
Adaptive iterative hard thresholding for low-rank matrix recovery and rank-one measurements1
An ultra-weak space-time variational formulation for the Schrödinger equation1
Editorial Board1
Tractability of approximation in the weighted Korobov space in the worst-case setting — a complete picture1
Robust pairwise learning with Huber loss1
Functional linear regression with Huber loss1
On the strong convergence rate for the Euler–Maruyama scheme of one-dimensional SDEs with irregular diffusion coefficient and local time1
Nominations for 2021 Joseph F. Traub Information-Based Complexity Young Researcher Award1
Numerical weighted integration of functions having mixed smoothness1
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