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 2021-11-01 to 2025-11-01.)
ArticleCitations
On the approximation of vector-valued functions by volume sampling37
A continuous characterization of PSPACE using polynomial ordinary differential equations28
Central Limit Theorem for the volume of the zero set of Kostlan-Shub-Smale random polynomial systems23
Multilevel Picard approximations overcome the curse of dimensionality in the numerical approximation of general semilinear PDEs with gradient-dependent nonlinearities22
Optimal recovery and volume estimates20
Optimal approximation of infinite-dimensional holomorphic functions II: Recovery from i.i.d. pointwise samples20
On a central algorithm for calculation of the inverse of the harmonic oscillator in the spaces of orbits19
Central Limit Theorem for (t,s)-sequences in base 217
Random-prime–fixed-vector randomised lattice-based algorithm for high-dimensional integration16
On the strong convergence rate for the Euler–Maruyama scheme of one-dimensional SDEs with irregular diffusion coefficient and local time15
A simplified iteratively regularized projection method for nonlinear ill-posed problems14
On regularized polynomial functional regression13
Kateryna Pozharska is the winner of the 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award11
Approximation in periodic Gevrey spaces11
Tractability of L2-approximation and integration in weighted Hermite spaces of finite smoothness9
On the expected number of real roots of polynomials and exponential sums8
Editorial Board8
On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient8
A duality approach to regularized learning problems in Banach spaces7
Online regularized learning algorithm for functional data7
On the complexity of orbit word problems7
Computing zeta functions of large polynomial systems over finite fields6
Improved bounds for the bracketing number of orthants or revisiting an algorithm of Thiémard to compute bounds for the star discrepancy6
An unfeasibility view of neural network learning6
Direct estimates for adaptive time-stepping finite element methods6
Editorial Board6
Editorial Board6
Approximate equality for two sums of roots6
On the computation of rational solutions of underdetermined systems over a finite field6
On negative dependence properties of Latin hypercube samples and scrambled nets5
Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality5
Editorial Board5
Optimal recovery and generalized Carlson inequality for weights with symmetry properties5
Online outcome weighted learning with general loss functions5
On the cardinality of lower sets and universal discretization5
Skewness of a randomized quasi-Monte Carlo estimate5
Editorial Board5
On the complexity of a unified convergence analysis for iterative methods5
Bit-complexity of classical solutions of linear evolutionary systems of partial differential equations5
Countable tensor products of Hermite spaces and spaces of Gaussian kernels4
The area of empty axis-parallel boxes amidst 2-dimensional lattice points4
Editorial Board4
Complexity for a class of elliptic ordinary integro-differential equations4
On the power of standard information for tractability for L2-approximation in the average case setting4
Approximation by quasi-interpolation operators and Smolyak's algorithm4
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
Editorial Board4
Optimal pointwise sampling for L2 approximation4
On oracle factoring of integers4
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness4
A note on EC-tractability of multivariate approximation in weighted Korobov spaces for the standard information class4
Best Paper Award of the Journal of Complexity4
Homogeneous algorithms and solvable problems on cones3
Selected aspects of tractability analysis3
Numerical weighted integration of functions having mixed smoothness3
Convergence analysis of an optimally accurate frozen multi-level projected steepest descent iteration for solving inverse problems3
Spectral flatness and the volume of intersections of p-ellipsoids3
A two-point Newton-like method of optimal fourth order convergence for systems of nonlinear equations3
Thomas Jahn, Tino Ullrich and Felix Voigtlaender are the Winners of the 2023 Best Paper Award of the Journal of Complexity3
Editorial Board3
Tamed-adaptive Euler-Maruyama approximation for SDEs with superlinearly growing and piecewise continuous drift, superlinearly growing and locally Hölder continuous diffusion3
On the number of solutions to a random instance of the permuted kernel problem3
Changes of the Editorial Board3
Changes of the Editorial Board3
Amortized multi-point evaluation of multivariate polynomials3
On a unified convergence analysis for Newton-type methods solving generalized equations with the Aubin property3
Integrability of weak mixed first-order derivatives and convergence rates of scrambled digital nets3
Optimal recovery of linear operators from information of random functions3
New bounds on the minimal dispersion3
Editorial Board3
Editorial Board3
Minimal dispersion of large volume boxes in the cube3
Announcement: IBC award 2022 and the nomination deadline 20232
Enhancing the applicability of Chebyshev-like method2
A quasi-Monte Carlo data compression algorithm for machine learning2
Expected multivolumes of random amoebas2
Randomized complexity of parametric integration and the role of adaption I. Finite dimensional case2
On the power of standard information for tractability for L∞ approximation of periodic functions in the worst case setting2
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs2
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
Adaptive regularization for nonconvex optimization using inexact function values and randomly perturbed derivatives2
Weaker convergence criteria for Traub's method2
Matrix and tensor rigidity and L-approximation2
Information-based complexity young researcher award2
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions2
Fast interpolation of multivariate polynomials with sparse exponents2
Heuristic approaches to obtain low-discrepancy point sets via subset selection2
Sharp estimates for the covering numbers of the Weierstrass fractal kernel2
Changes of the Editorial Board2
Convergence rates of support vector machines regression for functional data2
On the complexity of convergence for high order iterative methods2
Fast amortized multi-point evaluation2
Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems1
Deterministic computation of the characteristic polynomial in the time of matrix multiplication1
Hammersley Point Sets and Inverse of Star-Discrepancy1
A promenade through correct test sequences I: Degree of constructible sets, Bézout's Inequality and density1
Nominations for 2023 Joseph F. Traub Information-Based Complexity Young Researcher Award1
On the convergence of gradient descent for robust functional linear regression1
Functional linear regression with Huber loss1
The BMO-discrepancy suffers from the curse of dimensionality1
Bounds for the sampling discretization error and their applications to the universal sampling discretization1
Tractability of approximation in the weighted Korobov space in the worst-case setting — a complete picture1
A strongly monotonic polygonal Euler scheme1
An ultra-weak space-time variational formulation for the Schrödinger equation1
Editorial Board1
On the relation of the spectral test to isotropic discrepancy and L-approximation in Sobolev spaces1
Changes of the Editorial Board1
On Newton's method for solving generalized equations1
Minimal dispersion on the cube and the torus1
Nuclear embeddings in general vector-valued sequence spaces with an application to Sobolev embeddings of function spaces on quasi-bounded domains1
Sampling discretization and related problems1
A generative model for fBm with deep ReLU neural networks1
No existence of a linear algorithm for the one-dimensional Fourier phase retrieval1
Matthieu Dolbeault is the winner of the 2024 Joseph F. Traub Information-Based Complexity Young Researcher Award1
Improved bounds on the gain coefficients for digital nets in prime power base1
On the information complexity for integration in subspaces of the Wiener algebra1
Worst case tractability of linear problems in the presence of noise: Linear information1
Optimal subsampling for least absolute relative error estimators with massive data1
On the complexity of Putinar–Vasilescu's Positivstellensatz1
Changes of the Editorial Board1
Nonparametric conditional U-statistics on Lie groups with measurement errors1
Kernel multigrid on manifolds1
Approximate Pythagoras numbers on ⁎-algebras over C1
Editorial Board1
The minimal radius of Galerkin information for the problem of numerical differentiation1
Sharp lower bounds on the manifold widths of Sobolev and Besov spaces1
Nonexact oracle inequalities, r-learnability, and fast rates1
Linear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients1
Randomized complexity of mean computation and the adaption problem1
Discrepancy bounds for normal numbers generated by necklaces in arbitrary base1
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