3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2021★ 3 cited
Sparser Kernel Herding with Pairwise Conditional Gradients without Swap Steps
Kazuma Tsuji, Ken'ichiro Tanaka, Sebastian Pokutta
The Pairwise Conditional Gradients (PCG) algorithm is a powerful extension of the Frank-Wolfe algorithm leading to particularly sparse solutions, which makes PCG very appealing for…
math.NA2021
Sparse solutions of the kernel herding algorithm by improved gradient approximation
Kazuma Tsuji, Ken'ichiro Tanaka
The kernel herding algorithm is used to construct quadrature rules in a reproducing kernel Hilbert space (RKHS). While the computational efficiency of the algorithm and stability o…
stat.ML2020
Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
Kazuma Tsuji, Taiji Suzuki
Deep learning has achieved notable success in various fields, including image and speech recognition. One of the factors in the successful performance of deep learning is its high…