| Publication | Date of Publication | Type |
|---|
| SignReLU neural network and its approximation ability | 2024-04-09 | Paper |
| Efficient kernel canonical correlation analysis using Nyström approximation | 2024-03-05 | Paper |
| Sketching with Spherical Designs for Noisy Data Fitting on Spheres | 2024-02-08 | Paper |
| Correction to: ``Approximation of nonlinear functionals using deep ReLU networks | 2023-09-18 | Paper |
| Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks | 2023-08-28 | Paper |
| Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks | 2023-08-18 | Paper |
| Approximation of nonlinear functionals using deep ReLU networks | 2023-08-16 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5053184 | 2022-12-06 | Paper |
| Rates of convergence of randomized Kaczmarz algorithms in Hilbert spaces | 2022-08-26 | Paper |
| Universal Consistency of Deep Convolutional Neural Networks | 2022-07-13 | Paper |
| Moreau envelope augmented Lagrangian method for nonconvex optimization with linear constraints | 2022-06-21 | Paper |
| Theory of deep convolutional neural networks. II: Spherical analysis | 2021-12-07 | Paper |
| Distributed regularized least squares with flexible Gaussian kernels | 2021-06-29 | Paper |
| Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere | 2021-03-19 | Paper |
| Kernel gradient descent algorithm for information theoretic learning | 2021-01-29 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4969157 | 2020-10-05 | Paper |
| Distributed kernel gradient descent algorithm for minimum error entropy principle | 2020-04-27 | Paper |
| Online pairwise learning algorithms with convex loss functions | 2020-02-07 | Paper |
| Optimal learning rates for distribution regression | 2019-12-30 | Paper |
| Convergence of online mirror descent | 2019-12-05 | Paper |
| Analysis of singular value thresholding algorithm for matrix completion | 2019-11-21 | Paper |
| Deep neural networks for rotation-invariance approximation and learning | 2019-10-10 | Paper |
| Density problem and approximation error in learning theory | 2019-08-16 | Paper |
| Data-Dependent Generalization Bounds for Multi-Class Classification | 2019-07-19 | Paper |
| Analysis of Online Composite Mirror Descent Algorithm | 2019-06-06 | Paper |
| Online Pairwise Learning Algorithms | 2019-06-04 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4633060 | 2019-05-02 | Paper |
| Analysis of approximation by linear operators on variable \(L_\rho^{p(\cdot)}\) spaces and applications in learning theory | 2019-02-14 | Paper |
| Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression | 2019-02-07 | Paper |
| On ADMM in Deep Learning: Convergence and Saturation-Avoidance | 2019-02-06 | Paper |
| Deep distributed convolutional neural networks: Universality | 2018-12-10 | Paper |
| Learning Theory of Randomized Sparse Kaczmarz Method | 2018-10-10 | Paper |
| Modified Fejér sequences and applications | 2018-10-02 | Paper |
| Optimal learning rates for kernel partial least squares | 2018-06-28 | Paper |
| Distributed kernel-based gradient descent algorithms | 2018-04-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4637006 | 2018-04-17 | Paper |
| Approximation on variable exponent spaces by linear integral operators | 2017-10-04 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5361313 | 2017-09-27 | Paper |
| Interpolatory orthogonal multiwavelets and refinable functions | 2017-09-08 | Paper |
| Learning theory of distributed spectral algorithms | 2017-08-11 | Paper |
| Online regularized learning with pairwise loss functions | 2017-06-29 | Paper |
| Thresholded spectral algorithms for sparse approximations | 2017-06-13 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2966128 | 2017-03-06 | Paper |
| Minimax optimal rates of estimation in high dimensional additive models | 2017-02-13 | Paper |
| Unregularized online learning algorithms with general loss functions | 2017-01-16 | Paper |
| Error bounds for learning the kernel | 2016-11-30 | Paper |
| On the robustness of regularized pairwise learning methods based on kernels | 2016-10-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3188011 | 2016-08-16 | Paper |
| Iterative Regularization for Learning with Convex Loss Functions | 2016-06-06 | Paper |
| Consistency analysis of an empirical minimum error entropy algorithm | 2016-05-19 | Paper |
| Learning rates for the risk of kernel-based quantile regression estimators in additive models | 2016-05-10 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2788411 | 2016-02-19 | Paper |
| Learning theory approach to a system identification problem involving atomic norm | 2015-12-03 | Paper |
| Regularization schemes for minimum error entropy principle | 2015-06-05 | Paper |
| Asymptotic Behaviour of Extinction Probability of Interacting Branching Collision Processes | 2014-05-14 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5405253 | 2014-04-01 | Paper |
| On grouping effect of elastic net | 2014-02-11 | Paper |
| Simultaneous approximation by Bernstein operators in Hölder norms | 2013-04-19 | Paper |
| Concentration estimates for learning with unbounded sampling | 2013-04-15 | Paper |
| An approximation theory approach to learning with \(\ell^1\) regularization | 2013-04-05 | Paper |
| Online learning for quantile regression and support vector regression | 2012-09-21 | Paper |
| An empirical feature-based learning algorithm producing sparse approximations | 2012-05-07 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2880932 | 2012-04-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2880997 | 2012-04-17 | Paper |
| Extinction Probability of Interacting Branching Collision Processes | 2012-04-10 | Paper |
| Approximation analysis of learning algorithms for support vector regression and quantile regression | 2012-04-04 | Paper |
| Learning with varying insensitive loss | 2011-12-28 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093220 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093358 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3174075 | 2011-10-12 | Paper |
| Learning by nonsymmetric kernels with data dependent spaces and \(\ell^1\)-regularizer | 2011-06-21 | Paper |
| Learning Theory: From Regression to Classification | 2011-02-15 | Paper |
| Optimal learning rates for least squares regularized regression with unbounded sampling | 2011-01-21 | Paper |
| Learning gradients on manifolds | 2010-11-12 | Paper |
| Moving least-square method in learning theory | 2010-05-11 | Paper |
| Online Classification with Varying Gaussians | 2010-01-21 | Paper |
| Geometry on probability spaces | 2010-01-15 | Paper |
| Gradient learning in a classification setting by gradient descent | 2010-01-08 | Paper |
| High order Parzen windows and randomized sampling | 2010-01-04 | Paper |
| SVM LEARNING AND Lp APPROXIMATION BY GAUSSIANS ON RIEMANNIAN MANIFOLDS | 2009-08-26 | Paper |
| Learning with sample dependent hypothesis spaces | 2009-07-17 | Paper |
| ONLINE LEARNING WITH MARKOV SAMPLING | 2009-04-21 | Paper |
| Capacity of reproducing kernel spaces in learning theory | 2008-12-21 | Paper |
| Online Regularized Classification Algorithms | 2008-12-21 | Paper |
| Learning and approximation by Gaussians on Riemannian manifolds | 2008-12-16 | Paper |
| Parzen windows for multi-class classification | 2008-12-03 | Paper |
| Derivative reproducing properties for kernel methods in learning theory | 2008-08-22 | Paper |
| Reproducing kernel Hilbert spaces associated with analytic translation-invariant Mercer kernels | 2008-08-21 | Paper |
| Learning gradients by a gradient descent algorithm | 2008-03-31 | Paper |
| Fully online classification by regularization | 2007-09-18 | Paper |
| Learning theory estimates via integral operators and their approximations | 2007-09-06 | Paper |
| Learning Theory | 2007-03-13 | Paper |
| Multi-kernel regularized classifiers | 2007-03-12 | Paper |
| Learning rates of least-square regularized regression | 2006-09-28 | Paper |
| Approximation with polynomial kernels and SVM classifiers | 2006-08-16 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5473248 | 2006-06-20 | Paper |
| Shannon sampling. II: Connections to learning theory | 2006-01-10 | Paper |
| SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming | 2005-05-23 | Paper |
| Modeling language evolution | 2005-03-11 | Paper |
| Shannon sampling and function reconstruction from point values | 2004-08-13 | Paper |
| ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY | 2004-07-12 | Paper |
| Refinable Functions: Positivity and Interpolation | 2004-07-12 | Paper |
| \(L_p\) solutions of refinement equations | 2004-02-22 | Paper |
| Compactly supported wavelet bases for Sobolev spaces | 2003-11-16 | Paper |
| Properties of locally linearly independent refinable function vectors | 2003-06-09 | Paper |
| The covering number in learning theory | 2003-05-14 | Paper |
| Mean size of wavelet packets | 2003-04-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4542972 | 2002-11-14 | Paper |
| Supports of locally linearly independent \(M\)-refinable functions, attractors of iterated function systems and tilings | 2002-08-19 | Paper |
| Norms concerning subdivision sequences and their applications in wavelets | 2002-06-11 | Paper |
| Two-scale homogeneous functions in wavelet analysis. | 2002-01-01 | Paper |
| Binomial matrices | 2001-12-18 | Paper |
| Self-Similar Lattice Tilings and Subdivision Schemes | 2001-06-21 | Paper |
| Local linear independence of refinable vectors of functions | 2001-02-27 | Paper |
| The limits of refinable functions | 2001-02-19 | Paper |
| Multiple refinable Hermite interpolants | 2001-01-15 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4945748 | 2000-10-22 | Paper |
| Spectra of subdivision operators | 2000-10-19 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4257527 | 2000-02-23 | Paper |
| Global smoothness preservation and the variation-diminishing property | 2000-02-15 | Paper |
| Smoothness of Multiple Refinable Functions and Multiple Wavelets | 1999-11-24 | Paper |
| Convergence of Subdivision Schemes Associated with Nonnegative Masks | 1999-11-24 | Paper |
| Some characterizations for box spline wavelets and linear Diophantine equations | 1999-10-17 | Paper |
| Solvability of linear systems of PDE’s with constant coefficients | 1999-05-19 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4391759 | 1999-04-27 | Paper |
| Inhomogeneous refinement equations | 1999-03-28 | Paper |
| The \(p\)-norm joint spectral radius for even integers | 1999-03-08 | Paper |
| Approximation by Multiple Refinable Functions | 1998-12-29 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4216379 | 1998-10-26 | Paper |
| Vector subdivision schemes and multiple wavelets | 1998-09-10 | Paper |
| Seminorm and full norm order of linear approximation from shift-invariant spaces | 1998-02-18 | Paper |
| Existence of multiple refinable distributions | 1997-10-28 | Paper |
| Linear dependence relations in wavelets and tilings | 1997-04-06 | Paper |
| Extendibility of rational matrices | 1997-02-25 | Paper |
| Box splines with rational directions and linear diophantine equations | 1996-12-09 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4897132 | 1996-10-27 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4878755 | 1996-10-15 | Paper |
| Local approximation by modified Szász operators | 1996-08-22 | Paper |
| Stability of Refinable Functions, Multiresolution Analysis, and Haar Bases | 1996-08-22 | Paper |
| Characterisation of correctness of cardinal interpolation with shifted three-directional box splines | 1996-06-26 | Paper |
| Order of linear approximation from shift-invariant spaces | 1996-06-24 | Paper |
| Characterization theorems for the approximation by a family of operators | 1996-03-20 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4849693 | 1996-03-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4837998 | 1996-02-04 | Paper |
| Construction of real-valued wavelets by symmetry | 1996-01-02 | Paper |
| Local smoothness of functions and Bernstein-Durrmeyer operators | 1995-12-18 | Paper |
| On smoothness characterized by Bernstein type operators | 1995-10-09 | Paper |
| On a problem of Gonska | 1995-09-04 | Paper |
| A note on derivatives of Bernstein polynomials | 1995-05-10 | Paper |
| On wavelets in \(L_ 1\) | 1995-03-15 | Paper |
| A class of operators by means of three-diagonal matrices | 1994-08-18 | Paper |
| Weighted approximation by Szász-Mirakjan operators | 1994-07-03 | Paper |
| Weighted approximation by multidimensional Bernstein operators | 1994-07-03 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4290510 | 1994-05-05 | Paper |
| Converse theorems for multidimensional Kantorovich operators | 1994-03-07 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4278366 | 1994-01-31 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5289575 | 1993-08-23 | Paper |
| On a paper of Mazhar and Totik | 1993-08-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4697397 | 1993-06-29 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4031775 | 1993-04-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4031777 | 1993-04-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4030587 | 1993-04-01 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4023039 | 1993-01-25 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4018017 | 1993-01-16 | Paper |
| On a conjecture of Z. Ditzian | 1992-09-27 | Paper |
| Inverse theorems for multidimensional Bernstein-Durrmeyer operators in \(L_ p\) | 1992-09-27 | Paper |
| Inverse theorems in \(L^ p\) for some multidimensional positive linear operators | 1992-09-27 | Paper |
| \(L^ p\)-inverse theorems for beta operators | 1992-06-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3492119 | 1990-01-01 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5758630 | 1990-01-01 | Paper |
