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 2022-05-01 to 2026-05-01.)
ArticleCitations
Central Limit Theorem for the volume of the zero set of Kostlan-Shub-Smale random polynomial systems43
Rademacher learning rates for iterated random functions36
On the approximation of vector-valued functions by volume sampling29
Multilevel Picard approximations overcome the curse of dimensionality in the numerical approximation of general semilinear PDEs with gradient-dependent nonlinearities26
A continuous characterization of PSPACE using polynomial ordinary differential equations21
Optimal recovery and volume estimates20
Central Limit Theorem for (t,s)-sequences in base 219
Optimal approximation of infinite-dimensional holomorphic functions II: Recovery from i.i.d. pointwise samples14
Random-prime–fixed-vector randomised lattice-based algorithm for high-dimensional integration12
Generalization bounds of adversarial bipartite ranking with pairwise perturbation12
Changes of the Editorial Board10
Approximation in periodic Gevrey spaces9
Kateryna Pozharska is the winner of the 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award9
Editorial Board8
On regularized polynomial functional regression8
On the strong convergence rate for the Euler–Maruyama scheme of one-dimensional SDEs with irregular diffusion coefficient and local time8
A duality approach to regularized learning problems in Banach spaces8
A simplified iteratively regularized projection method for nonlinear ill-posed problems8
Tractability of L2-approximation and integration in weighted Hermite spaces of finite smoothness8
Approximate equality for two sums of roots7
Online regularized learning algorithm for functional data7
Editorial Board7
On the complexity of orbit word problems7
On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient7
Direct estimates for adaptive time-stepping finite element methods7
Improved bounds for the bracketing number of orthants or revisiting an algorithm of Thiémard to compute bounds for the star discrepancy7
On the expected number of real roots of polynomials and exponential sums7
On the computation of rational solutions of underdetermined systems over a finite field6
Online outcome weighted learning with general loss functions6
Computing zeta functions of large polynomial systems over finite fields6
Editorial Board6
On optimal recovery and information complexity in numerical differentiation and summation6
An unfeasibility view of neural network learning6
Skewness of a randomized quasi-Monte Carlo estimate6
Editorial Board6
Optimal recovery and generalized Carlson inequality for weights with symmetry properties5
On the power of standard information for tractability for L2-approximation in the average case setting5
On the complexity of a unified convergence analysis for iterative methods5
Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality5
On the cardinality of lower sets and universal discretization5
Bit-complexity of classical solutions of linear evolutionary systems of partial differential equations5
The area of empty axis-parallel boxes amidst 2-dimensional lattice points4
Countable tensor products of Hermite spaces and spaces of Gaussian kernels4
Editorial Board4
Editorial Board4
Statistical analysis of prediction in functional polynomial quantile regression4
Complexity for a class of elliptic ordinary integro-differential equations4
On oracle factoring of integers4
Lower bounds for integration and recovery in L24
Takashi Goda is the winner of the 2025 Joseph F. Traub Prize for Achievement in Information-Based Complexity4
Weighted sampling recovery of functions with mixed smoothness4
Optimal recovery of linear operators from information of random functions4
Editorial Board4
Geo-indistinguishable location obfuscation with inference error bounds4
Best Paper Award of the Journal of Complexity4
Accelerated convergence of error quantiles using robust randomized quasi Monte Carlo methods4
Numerical weighted integration of functions having mixed smoothness4
Spectral flatness and the volume of intersections of p-ellipsoids3
New bounds on the minimal dispersion3
Editorial Board3
Changes of the Editorial Board3
A two-point Newton-like method of optimal fourth order convergence for systems of nonlinear equations3
Changes of the Editorial Board3
Tamed-adaptive Euler-Maruyama approximation for SDEs with superlinearly growing and piecewise continuous drift, superlinearly growing and locally Hölder continuous diffusion3
Convergence analysis of an optimally accurate frozen multi-level projected steepest descent iteration for solving inverse problems3
Selected aspects of tractability analysis3
Editorial Board3
Optimal prediction of vector-valued functions from point samples3
Editorial Board3
Jonathan Siegel is the winner of the 2025 Joseph F. Traub Information-Based Complexity Young Researcher Award3
On the number of solutions to a random instance of the permuted kernel problem3
On a unified convergence analysis for Newton-type methods solving generalized equations with the Aubin property3
Fast interpolation of multivariate polynomials with sparse exponents2
A generative model for fBm with deep ReLU neural networks2
Sharp estimates for the covering numbers of the Weierstrass fractal kernel2
On the power of standard information for tractability for L∞ approximation of periodic functions in the worst case setting2
Integrability of weak mixed first-order derivatives and convergence rates of scrambled digital nets2
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs2
Editorial Board2
Minimal dispersion of large volume boxes in the cube2
Information-based complexity young researcher award2
On the complexity of convergence for high order iterative methods2
Randomized complexity of parametric integration and the role of adaption I. Finite dimensional case2
Heuristic approaches to obtain low-discrepancy point sets via subset selection2
Matrix and tensor rigidity and L-approximation2
Announcement: IBC award 2022 and the nomination deadline 20232
Homogeneous algorithms and solvable problems on cones2
Enhancing the applicability of Chebyshev-like method2
Thomas Jahn, Tino Ullrich and Felix Voigtlaender are the Winners of the 2023 Best Paper Award of the Journal of Complexity2
Amortized multi-point evaluation of multivariate polynomials2
A high-efficiency fourth-order iterative method for nonlinear equations: Convergence and computational gains2
Regularized reduced-rank regression for structured output prediction2
Computing Riemann–Roch spaces via Puiseux expansions2
Convergence analysis of iteratively regularized Landweber iteration with uniformly convex constraints in Banach spaces2
Weighted mesh algorithms for general Markov decision processes: Convergence and tractability2
Changes of the Editorial Board2
Expected multivolumes of random amoebas2
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions2
Discrepancy bounds for normal numbers generated by necklaces in arbitrary base1
On the complexity of p-order cone programs1
A strongly monotonic polygonal Euler scheme1
Hammersley point sets and inverse of star-discrepancy1
Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems1
Sampling discretization and related problems1
Convergence analysis of a regularized iterative scheme for solving nonlinear problems1
Editorial Board1
Sharp lower bounds on the manifold widths of Sobolev and Besov spaces1
Matthieu Dolbeault is the winner of the 2024 Joseph F. Traub Information-Based Complexity Young Researcher Award1
Approximate Pythagoras numbers on ⁎-algebras over C1
Marcinkiewicz–Zygmund inequalities in quasi-Banach function spaces1
On the complexity of Putinar–Vasilescu's Positivstellensatz1
Editorial Board1
Nominations for 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award1
Minimal dispersion on the cube and the torus1
Kernel multigrid on manifolds1
A sixth-order bi-parametric iterative method for nonlinear systems: Theory, stability and computational complexity1
Bounds for the sampling discretization error and their applications to the universal sampling discretization1
The BMO-discrepancy suffers from the curse of dimensionality1
Nonexact oracle inequalities, r-learnability, and fast rates1
Nonparametric conditional U-statistics on Lie groups with measurement errors1
On recovering the Radon-Nikodym derivative under the big data assumption1
Optimal subsampling for least absolute relative error estimators with massive data1
Worst case tractability of linear problems in the presence of noise: Linear information1
Changes of the Editorial Board1
Improved bounds on the gain coefficients for digital nets in prime power base1
On the convergence of gradient descent for robust functional linear regression1
Linear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients1
Functional linear regression with Huber loss1
The minimal radius of Galerkin information for the problem of numerical differentiation1
No existence of a linear algorithm for the one-dimensional Fourier phase retrieval1
On Newton's method for solving generalized equations1
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