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 2021-08-01 to 2025-08-01.)
ArticleCitations
Central Limit Theorem for the volume of the zero set of Kostlan-Shub-Smale random polynomial systems39
On the approximation of vector-valued functions by volume sampling36
A continuous characterization of PSPACE using polynomial ordinary differential equations34
Editorial Board30
On a central algorithm for calculation of the inverse of the harmonic oscillator in the spaces of orbits25
Central Limit Theorem for (t,s)-sequences in base 221
Random-prime–fixed-vector randomised lattice-based algorithm for high-dimensional integration21
Optimal approximation of infinite-dimensional holomorphic functions II: Recovery from i.i.d. pointwise samples17
Optimal recovery and volume estimates17
Editorial Board15
Kateryna Pozharska is the winner of the 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award15
Tractability of L2-approximation and integration in weighted Hermite spaces of finite smoothness15
A simplified iteratively regularized projection method for nonlinear ill-posed problems14
On regularized polynomial functional regression11
Approximation in periodic Gevrey spaces10
On the strong convergence rate for the Euler–Maruyama scheme of one-dimensional SDEs with irregular diffusion coefficient and local time10
On the expected number of real roots of polynomials and exponential sums10
A duality approach to regularized learning problems in Banach spaces10
On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient9
Digit-by-digit and component-by-component constructions of lattice rules for periodic functions with unknown smoothness8
Improved bounds for the bracketing number of orthants or revisiting an algorithm of Thiémard to compute bounds for the star discrepancy8
On the complexity of orbit word problems7
An unfeasibility view of neural network learning7
Online regularized learning algorithm for functional data7
Editorial Board6
Direct estimates for adaptive time-stepping finite element methods6
Editorial Board6
Approximate equality for two sums of roots6
Computing zeta functions of large polynomial systems over finite fields6
Editorial Board6
Editorial Board6
On the computation of rational solutions of underdetermined systems over a finite field6
On the cardinality of lower sets and universal discretization6
On negative dependence properties of Latin hypercube samples and scrambled nets6
Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality5
On the complexity of a unified convergence analysis for iterative methods5
Bit-complexity of classical solutions of linear evolutionary systems of partial differential equations5
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
Online outcome weighted learning with general loss functions5
A note on EC-tractability of multivariate approximation in weighted Korobov spaces for the standard information class4
Optimal pointwise sampling for L2 approximation4
Lower bounds for integration and recovery in L24
Best Paper Award of the Journal of Complexity4
Takashi Goda is the winner of the 2025 Joseph F. Traub Prize for Achievement in Information-Based Complexity4
Approximation by quasi-interpolation operators and Smolyak's algorithm4
The area of empty axis-parallel boxes amidst 2-dimensional lattice points4
Complexity for a class of elliptic ordinary integro-differential equations4
Robust pairwise learning with Huber loss4
Countable tensor products of Hermite spaces and spaces of Gaussian kernels4
On oracle factoring of integers4
Editorial Board4
New bounds on the minimal dispersion3
Spectral flatness and the volume of intersections of p-ellipsoids3
Numerical weighted integration of functions having mixed smoothness3
Editorial Board3
Thomas Jahn, Tino Ullrich and Felix Voigtlaender are the Winners of the 2023 Best Paper Award of the Journal of Complexity3
Expected multivolumes of random amoebas3
Information-based complexity young researcher award3
Changes of the Editorial Board3
On the number of solutions to a random instance of the permuted kernel problem3
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness3
Changes of the Editorial Board3
Estimates of the asymptotic Nikolskii constants for spherical polynomials3
A two-point Newton-like method of optimal fourth order convergence for systems of nonlinear equations3
Changes of the Editorial Board3
Amortized multi-point evaluation of multivariate polynomials3
Selected aspects of tractability analysis3
Optimal recovery of linear operators from information of random functions3
Convergence analysis of an optimally accurate frozen multi-level projected steepest descent iteration for solving inverse problems3
Tamed-adaptive Euler-Maruyama approximation for SDEs with superlinearly growing and piecewise continuous drift, superlinearly growing and locally Hölder continuous diffusion3
Editorial Board3
Computing Riemann–Roch spaces via Puiseux expansions3
Minimal dispersion of large volume boxes in the cube3
On a unified convergence analysis for Newton-type methods solving generalized equations with the Aubin property3
Enhancing the applicability of Chebyshev-like method2
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs2
Editorial Board2
Editorial Board2
Weaker convergence criteria for Traub's method2
Announcement: IBC award 2022 and the nomination deadline 20232
A quasi-Monte Carlo data compression algorithm for machine learning2
Fast amortized multi-point evaluation2
Convergence analysis of iteratively regularized Landweber iteration with uniformly convex constraints in Banach spaces2
Adaptive regularization for nonconvex optimization using inexact function values and randomly perturbed derivatives2
Convergence rates of support vector machines regression for functional data2
Homogeneous algorithms and solvable problems on cones2
Randomized complexity of parametric integration and the role of adaption I. Finite dimensional case2
Matrix and tensor rigidity and L-approximation2
Heuristic approaches to obtain low-discrepancy point sets via subset selection2
On the complexity of convergence for high order iterative methods2
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions2
Weighted mesh algorithms for general Markov decision processes: Convergence and tractability2
Integrability of weak mixed first-order derivatives and convergence rates of scrambled digital nets2
A generative model for fBm with deep ReLU neural networks2
Fast interpolation of multivariate polynomials with sparse exponents2
Sharp estimates for the covering numbers of the Weierstrass fractal kernel2
The minimal radius of Galerkin information for the problem of numerical differentiation1
A strongly monotonic polygonal Euler scheme1
Optimal subsampling for least absolute relative error estimators with massive data1
Changes of the Editorial Board1
On the complexity of Putinar–Vasilescu's Positivstellensatz1
Homotopy techniques for solving sparse column support determinantal polynomial systems1
Nonexact oracle inequalities, r-learnability, and fast rates1
Kernel multigrid on manifolds1
Nonparametric conditional U-statistics on Lie groups with measurement errors1
No existence of a linear algorithm for the one-dimensional Fourier phase retrieval1
The BMO-discrepancy suffers from the curse of dimensionality1
On the power of standard information for tractability for L∞ approximation of periodic functions in the worst case setting1
Approximate Pythagoras numbers on ⁎-algebras over C1
Bounds for discrepancies in the Hamming space1
Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems1
Nominations for 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award1
Lower bounds for the error of quadrature formulas for Hilbert spaces1
Nuclear embeddings in general vector-valued sequence spaces with an application to Sobolev embeddings of function spaces on quasi-bounded domains1
Deterministic computation of the characteristic polynomial in the time of matrix multiplication1
On optimal recovery in L21
Minimal dispersion on the cube and the torus1
Editorial Board1
Tractability of approximation in the weighted Korobov space in the worst-case setting — a complete picture1
Matthieu Dolbeault is the winner of the 2024 Joseph F. Traub Information-Based Complexity Young Researcher Award1
On the convergence of gradient descent for robust functional linear regression1
A promenade through correct test sequences I: Degree of constructible sets, Bézout's Inequality and density1
Discrepancy bounds for normal numbers generated by necklaces in arbitrary base1
Changes of the Editorial Board1
Editorial Board1
Sampling discretization and related problems1
On Newton's method for solving generalized equations1
Improved bounds on the gain coefficients for digital nets in prime power base1
Linear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients1
Functional linear regression with Huber loss1
Sharp lower bounds on the manifold widths of Sobolev and Besov spaces1
Function values are enough for L2-approximation: Part II1
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