Vector-Valued Least-Squares Regression under Output Regularity Assumptions

16 November 2022

Papers citing "Vector-Valued Least-Squares Regression under Output Regularity Assumptions"

5 / 5 papers shown

Title
A randomized algorithm to solve reduced rank operator regression G. Turri Vladimir Kostic P. Novelli Massimiliano Pontil 19 4 0 28 Dec 2023
Scalable variable selection for two-view learning tasks with projection operators S. Szedmák Riikka Huusari Tat Hong Duong Le Juho Rousu 11 0 0 04 Jul 2023
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels T. Ahmad Luc Brogat-Motte Pierre Laforgue Florence dÁlché-Buc BDL 16 6 0 20 Feb 2023
Recursive Estimation of Conditional Kernel Mean Embeddings Ambrus Tamás Balázs Csanád Csáji 15 1 0 12 Feb 2023
Semi-supervised Vector-valued Learning: Improved Bounds and Algorithms Jian Li Yong Liu Weiping Wang 13 2 0 11 Sep 2019