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Bayesian Approaches to Distribution Regression

Bayesian Approaches to Distribution Regression

11 May 2017
H. Law
Danica J. Sutherland
Dino Sejdinovic
Seth Flaxman
    OOD
    UQCV
    BDL
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Papers citing "Bayesian Approaches to Distribution Regression"

3 / 3 papers shown
Title
Causal inference using deep neural networks
Causal inference using deep neural networks
Ye Yuan
Xueying Ding
Z. Bar-Joseph
BDL
CML
21
2
0
25 Nov 2020
Anomaly Detection at Scale: The Case for Deep Distributional Time Series
  Models
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models
Fadhel Ayed
Lorenzo Stella
Tim Januschowski
Jan Gasthaus
AI4TS
32
10
0
30 Jul 2020
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
M. Lerasle
Z. Szabó
Gaspar Massiot
Guillaume Lecué
26
34
0
13 Feb 2018
1