Learning from Distributions via Support Measure Machines

29 February 2012

Papers citing "Learning from Distributions via Support Measure Machines"

6 / 6 papers shown

Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 50 0 0 26 May 2025
Generative Distribution Embeddings Nic Fishman Gokul Gowri Peng Yin Jonathan Gootenberg Omar Abudayyeh SyDa 804 0 0 23 May 2025
Integral Imprecise Probability Metrics Siu Lun Chau Michele Caprio Krikamol Muandet 36 0 0 22 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 100 1 0 09 May 2025
Improved learning theory for kernel distribution regression with two-stage sampling François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes 108 2 0 28 Jan 2025
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 154 741 0 30 Jul 2009