Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds

1 September 2018

Papers citing "Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds"

6 / 6 papers shown

Title
Filtering with State-Observation Examples via Kernel Monte Carlo Filter Motonobu Kanagawa Yu Nishiyama Arthur Gretton Kenji Fukumizu 62 21 0 17 Dec 2013
Large-scale Multi-label Learning with Missing Labels Hsiang-Fu Yu Prateek Jain Purushottam Kar Inderjit S. Dhillon MQ 80 493 0 18 Jul 2013
Domain Generalization via Invariant Feature Representation Krikamol Muandet David Balduzzi Bernhard Schölkopf OOD 124 1,179 0 10 Jan 2013
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 154 338 0 15 Mar 2012
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 208 744 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 231 2,357 0 15 May 2008