| Publication | Date of Publication | Type |
|---|
| Sketching with Spherical Designs for Noisy Data Fitting on Spheres | 2024-02-08 | Paper |
| Distributed Uncertainty Quantification of Kernel Interpolation on Spheres | 2023-10-25 | Paper |
| Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications | 2023-01-11 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5053184 | 2022-12-06 | Paper |
| Distributed Learning With Dependent Samples | 2022-10-11 | Paper |
| Universal Consistency of Deep Convolutional Neural Networks | 2022-07-13 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5063065 | 2022-03-17 | Paper |
| Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere | 2021-03-19 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4969157 | 2020-10-05 | Paper |
| Kernel Interpolation of High Dimensional Scattered Data | 2020-09-03 | Paper |
| Limitations of shallow nets approximation | 2020-02-03 | Paper |
| Deep neural networks for rotation-invariance approximation and learning | 2019-10-10 | Paper |
| Learning Rates for Classification with Gaussian Kernels | 2019-06-06 | Paper |
| Distributed learning with multi-penalty regularization | 2019-05-21 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4633060 | 2019-05-02 | Paper |
| Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm | 2019-02-08 | Paper |
| On ADMM in Deep Learning: Convergence and Saturation-Avoidance | 2019-02-06 | Paper |
| Nonparametric regression using needlet kernels for spherical data | 2018-12-20 | Paper |
| Multivariate Jackson-type inequality for a new type neural network approximation | 2018-12-18 | Paper |
| <formula formulatype="inline"><tex Notation="TeX">$L_{1/2}$</tex> </formula> Regularization: Convergence of Iterative Half Thresholding Algorithm | 2018-08-22 | 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 |
| https://portal.mardi4nfdi.de/entity/Q5361313 | 2017-09-27 | Paper |
| Learning theory of distributed spectral algorithms | 2017-08-11 | Paper |
| Divide and conquer local average regression | 2017-05-16 | Paper |
| GAITA: a Gauss-Seidel iterative thresholding algorithm for \(\ell_q\) regularized least squares regression | 2017-03-16 | Paper |
| Linear and nonlinear approximation of spherical radial basis function networks | 2016-06-03 | Paper |
| Approximation by neural networks with scattered data | 2016-04-27 | Paper |
| Prediction-based Termination Rule for Greedy Learning with Massive Data | 2016-03-30 | Paper |
| Jackson-type inequalities for spherical neural networks with doubling weights | 2015-11-06 | Paper |
| Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel | 2015-02-23 | Paper |
| Discretizing spherical integrals and its applications | 2015-01-21 | Paper |
| A Cyclic Coordinate Descent Algorithm for lq Regularization | 2014-08-03 | Paper |
| Almost optimal estimates for approximation and learning by radial basis function networks | 2014-07-14 | Paper |
| Interpolation and best approximation for spherical radial basis function networks | 2014-06-23 | Paper |
| Learning rates of regularized regression on the unit sphere | 2013-09-09 | Paper |
| Essential rate for approximation by spherical neural networks | 2013-05-31 | Paper |
| Cubature formula for spherical basis function networks | 2013-02-22 | Paper |
| The multivariate weighted Bernstein-type inequality and its applications | 2013-01-24 | Paper |
| A convergence rate for approximate solutions of Fredholm integral equations of the first kind | 2013-01-02 | Paper |
| A general radial quasi-interpolation operator on the sphere | 2012-11-20 | Paper |
| The essential rate of approximation for radial function manifold | 2012-03-29 | Paper |
| LpError Estimates for Scattered Data Interpolation On Spheres | 2012-02-19 | Paper |
| The estimate for approximation error of spherical neural networks | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3016904 | 2011-07-19 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3001670 | 2011-05-31 | Paper |
| Strong converse inequality for a spherical operator | 2011-05-13 | Paper |
| The capability of approximation for neural networks interpolant on the sphere | 2011-03-08 | Paper |
| Constructive approximate interpolation by neural networks in the metric space | 2011-02-13 | Paper |
| On general Bernstein and Nikol'skiî type inequalities | 2011-02-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3051735 | 2010-11-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3054469 | 2010-11-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3640987 | 2009-11-11 | Paper |
| Markov inequalities for polynomials with restricted coefficients | 2009-11-03 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5320313 | 2009-07-22 | Paper |
