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Adaptive Estimation in Structured Factor Models with Applications to
  Overlapping Clustering
v1v2v3v4 (latest)

Adaptive Estimation in Structured Factor Models with Applications to Overlapping Clustering

23 April 2017
Xin Bing
F. Bunea
Y. Ning
M. Wegkamp
ArXiv (abs)PDFHTML

Papers citing "Adaptive Estimation in Structured Factor Models with Applications to Overlapping Clustering"

18 / 18 papers shown
Title
Time-varying Factor Augmented Vector Autoregression with Grouped Sparse Autoencoder
Yiyong Luo
Brooks Paige
Jim Griffin
CML
80
0
0
06 Mar 2025
Causal Representation Learning in Temporal Data via Single-Parent
  Decoding
Causal Representation Learning in Temporal Data via Single-Parent Decoding
Philippe Brouillard
Sébastien Lachapelle
Julia Kaltenborn
Yaniv Gurwicz
Dhanya Sridhar
Alexandre Drouin
Peer Nowack
Jakob Runge
David Rolnick
CML
61
6
0
09 Oct 2024
Estimating Max-Stable Random Vectors with Discrete Spectral Measure
  using Model-Based Clustering
Estimating Max-Stable Random Vectors with Discrete Spectral Measure using Model-Based Clustering
Alexis Boulin
100
0
0
02 Feb 2024
Optimal vintage factor analysis with deflation varimax
Optimal vintage factor analysis with deflation varimax
Xin Bing
Dian Jin
Yuqian Zhang
Yuqian Zhang
435
2
0
16 Oct 2023
Neuro-Causal Factor Analysis
Neuro-Causal Factor Analysis
Alex Markham
Ming-Yuan Liu
Bryon Aragam
Liam Solus
CML
59
3
0
31 May 2023
Semisoft Task Clustering for Multi-Task Learning
Semisoft Task Clustering for Multi-Task Learning
Yuzhao Zhang
Yifan Sun
89
0
0
28 Nov 2022
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
Xin Bing
M. Wegkamp
52
2
0
23 Oct 2022
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Yujia Zheng
Ignavier Ng
Kun Zhang
CML
97
65
0
15 Jun 2022
Encoding Domain Knowledge in Multi-view Latent Variable Models: A
  Bayesian Approach with Structured Sparsity
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity
Arber Qoku
Florian Buettner
72
5
0
13 Apr 2022
Blessing of Dependence: Identifiability and Geometry of Discrete Models
  with Multiple Binary Latent Variables
Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
Yuqi Gu
101
6
0
08 Mar 2022
Cluster Stability Selection
Cluster Stability Selection
Gregory Faletto
Jacob Bien
51
5
0
03 Jan 2022
Optimal Variable Clustering for High-Dimensional Matrix Valued Data
Optimal Variable Clustering for High-Dimensional Matrix Valued Data
Inbeom Lee
Siyi Deng
Y. Ning
28
1
0
24 Dec 2021
Identifiable Deep Generative Models via Sparse Decoding
Identifiable Deep Generative Models via Sparse Decoding
Gemma E. Moran
Dhanya Sridhar
Yixin Wang
David M. Blei
BDL
111
49
0
20 Oct 2021
Unique sparse decomposition of low rank matrices
Unique sparse decomposition of low rank matrices
Dian Jin
Xin Bing
Yuqian Zhang
147
4
0
14 Jun 2021
Deconfounded Score Method: Scoring DAGs with Dense Unobserved
  Confounding
Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding
Alexis Bellot
M. Schaar
CML
75
11
0
28 Mar 2021
Detecting approximate replicate components of a high-dimensional random
  vector with latent structure
Detecting approximate replicate components of a high-dimensional random vector with latent structure
Xin Bing
F. Bunea
M. Wegkamp
129
4
0
05 Oct 2020
Prediction in latent factor regression: Adaptive PCR and beyond
Prediction in latent factor regression: Adaptive PCR and beyond
Xin Bing
F. Bunea
Seth Strimas-Mackey
M. Wegkamp
41
2
0
20 Jul 2020
A note on identifiability conditions in confirmatory factor analysis
A note on identifiability conditions in confirmatory factor analysis
W. Leeb
CML
26
4
0
05 Dec 2019
1