Co-occurring keywords · papers mentioning both
Papers
Learning to Embed Distributions via Maximum Kernel Entropy
NeurIPS 2024
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
AAAI 2022
Distribution Regression with Sliced Wasserstein Kernels
ICML 2022
Distribution Regression for Sequential Data
AISTATS 2021
Stochastic Gradient Descent Meets Distribution Regression
AISTATS 2021
Bayesian Approaches to Distribution Regression
AISTATS 2018
Estimating Cosmological Parameters from the Dark Matter Distribution
ICML 2016
Learning Theory for Distribution Regression
JMLR 2016
Two-stage sampled learning theory on distributions
AISTATS 2015
Fast Distribution To Real Regression
AISTATS 2014
Distribution-Free Distribution Regression
AISTATS 2013
Distribution to Distribution Regression
ICML 2013