'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

http://jmlr.org/papers/v26/23-1578.html

#sparse #nonparametric #smoothing

'Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization', by Hao Wang, Ye Wang, Xiangyu Yang.

http://jmlr.org/papers/v25/23-0449.html

#minimization #optimization #smoothing

'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

'Functions with average smoothness: structure, algorithms, and learning', by Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich.

http://jmlr.org/papers/v25/23-0182.html

#smoothing #smoothness #bounding

'Nonparametric Regression for 3D Point Cloud Learning', by Xinyi Li, Shan Yu, Yueying Wang, Guannan Wang, Li Wang, Ming-Jun Lai.

http://jmlr.org/papers/v25/22-0735.html

#smoothing #3d #clouds

'Additive smoothing error in backward variational inference for general state-space models', by Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff.

http://jmlr.org/papers/v25/22-1392.html

#variational #smoothing #estimation