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On Graphical Models via Univariate Exponential Family Distributions

On Graphical Models via Univariate Exponential Family Distributions

17 January 2013
Eunho Yang
Pradeep Ravikumar
Genevera I. Allen
Zhandong Liu
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Papers citing "On Graphical Models via Univariate Exponential Family Distributions"

11 / 11 papers shown
Title
Sequential Kernelized Stein Discrepancy
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
33
0
0
26 Sep 2024
On pairwise interaction multivariate Pareto models
On pairwise interaction multivariate Pareto models
Michael Lalancette
8
2
0
21 Jun 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric
  Markov Networks
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Yujia Zheng
Ignavier Ng
Yewen Fan
Kun Zhang
9
4
0
19 May 2023
Network Clustering for Latent State and Changepoint Detection
Network Clustering for Latent State and Changepoint Detection
Madeline Navarro
Genevera I. Allen
Michael Weylandt
6
4
0
01 Nov 2021
Efficient Learning of Quadratic Variance Function Directed Acyclic
  Graphs via Topological Layers
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
Wei Zhou
Xin He
Wei Zhong
Junhui Wang
CML
17
4
0
01 Nov 2021
A Computationally Efficient Method for Learning Exponential Family
  Distributions
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah
Devavrat Shah
G. Wornell
13
9
0
28 Oct 2021
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected
  Graphical Models
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models
Yinan Li
Xiao Liu
Fang Liu
16
7
0
11 Oct 2018
Learning non-parametric Markov networks with mutual information
Learning non-parametric Markov networks with mutual information
Janne Leppä-aho
Santeri Räisänen
Xiao Yang
Teemu Roos
16
2
0
08 Aug 2017
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion
  Scoring (ODS)
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)
G. Park
Garvesh Raskutti
CML
11
45
0
28 Apr 2017
Quantile Graphical Models: Prediction and Conditional Independence with
  Applications to Systemic Risk
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk
A. Belloni
Mingli Chen
Victor Chernozhukov
13
7
0
01 Jul 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate
  Exponential Families that Permit Positive Dependencies
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies
David I. Inouye
Pradeep Ravikumar
Inderjit S. Dhillon
8
18
0
11 Mar 2016
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