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SILVar: Single Index Latent Variable Models

SILVar: Single Index Latent Variable Models

9 May 2017
Jonathan Mei
José M. F. Moura
ArXivPDFHTML

Papers citing "SILVar: Single Index Latent Variable Models"

11 / 11 papers shown
Title
Matrix Completion Under Monotonic Single Index Models
Matrix Completion Under Monotonic Single Index Models
Ravi Ganti
Laura Balzano
Rebecca Willett
127
45
0
29 Dec 2015
Learning Single Index Models in High Dimensions
Learning Single Index Models in High Dimensions
Ravi Ganti
Nikhil S. Rao
Rebecca Willett
Robert D. Nowak
52
29
0
30 Jun 2015
Signal Processing on Graphs: Causal Modeling of Unstructured Data
Signal Processing on Graphs: Causal Modeling of Unstructured Data
Jonathan Mei
José M. F. Moura
CML
AI4TS
43
191
0
28 Feb 2015
Generalized Low Rank Models
Generalized Low Rank Models
Madeleine Udell
Corinne Horn
R. Zadeh
Stephen P. Boyd
68
346
0
01 Oct 2014
Regularized estimation in sparse high-dimensional time series models
Regularized estimation in sparse high-dimensional time series models
Sumanta Basu
George Michailidis
AI4TS
104
424
0
17 Nov 2013
Learning the Dependence Graph of Time Series with Latent Factors
Learning the Dependence Graph of Time Series with Latent Factors
A. Jalali
Sujay Sanghavi
CML
79
44
0
09 Jun 2011
Causal Network Inference via Group Sparse Regularization
Causal Network Inference via Group Sparse Regularization
Andrew K. Bolstad
B. V. Veen
Robert D. Nowak
CML
74
143
0
03 Jun 2011
Efficient Learning of Generalized Linear and Single Index Models with
  Isotonic Regression
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade
Adam Tauman Kalai
Varun Kanade
Ohad Shamir
192
179
0
11 Apr 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
469
1,379
0
13 Oct 2010
Latent variable graphical model selection via convex optimization
Latent variable graphical model selection via convex optimization
V. Chandrasekaran
P. Parrilo
A. Willsky
CML
207
509
0
06 Aug 2010
Rank-Sparsity Incoherence for Matrix Decomposition
Rank-Sparsity Incoherence for Matrix Decomposition
V. Chandrasekaran
Sujay Sanghavi
P. Parrilo
A. Willsky
CML
240
1,111
0
11 Jun 2009
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