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Noise Contrastive Meta-Learning for Conditional Density Estimation using
  Kernel Mean Embeddings

Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings

5 June 2019
Jean-François Ton
Lucian Chan
Yee Whye Teh
Dino Sejdinovic
ArXivPDFHTML

Papers citing "Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings"

4 / 4 papers shown
Title
Returning The Favour: When Regression Benefits From Probabilistic Causal
  Knowledge
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
S. Bouabid
Jake Fawkes
Dino Sejdinovic
CML
41
0
0
26 Jan 2023
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
BDL
73
24
0
01 Sep 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
19
24
0
11 Feb 2022
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
12
19
0
14 Jun 2021
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