'On the Approximation of Kernel functions', by Paul Dommel, Alois Pichler.
http://jmlr.org/papers/v26/24-0270.html
#kernels #kernel #regularization
'On the Approximation of Kernel functions', by Paul Dommel, Alois Pichler.
http://jmlr.org/papers/v26/24-0270.html
#kernels #kernel #regularization
'Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization', by Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis.
http://jmlr.org/papers/v26/23-1359.html
#regularization #entropy #gaussian
'An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification', by Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski.
http://jmlr.org/papers/v25/24-0268.html
#adversarial #regularization #classifiers
'An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems', by Yuqia Wu, Shaohua Pan, Xiaoqi Yang.
http://jmlr.org/papers/v25/23-1700.html
#regularization #regularized #gradient
'Entropic Gromov-Wasserstein Distances: Stability and Algorithms', by Gabriel Rioux, Ziv Goldfeld, Kengo Kato.
http://jmlr.org/papers/v25/24-0039.html
#regularization #wasserstein #variational
'Spectral Regularized Kernel Goodness-of-Fit Tests', by Omar Hagrass, Bharath K. Sriperumbudur, Bing Li.
http://jmlr.org/papers/v25/23-1031.html
#regularization #regularized #spectral
'Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates', by Hanbaek Lyu.
http://jmlr.org/papers/v25/23-0349.html
#regularization #regularized #minimization
'Random Smoothing Regularization in Kernel Gradient Descent Learning', by Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao.
http://jmlr.org/papers/v25/23-0580.html
#regularization #smoothing #gradient
'Functional optimal transport: regularized map estimation and domain adaptation for functional data', by Jiacheng Zhu, Aritra Guha, Dat Do, Mengdi Xu, XuanLong Nguyen, Ding Zhao.
http://jmlr.org/papers/v25/22-0217.html
#transport #regularization #measures
'On Regularized Radon-Nikodym Differentiation', by Duc Hoan Nguyen, Werner Zellinger, Sergei Pereverzyev.
http://jmlr.org/papers/v25/23-0567.html
#regularization #regularized #estimation