Learning with Latent Factors in Time Series

Sujay Sanghavi , Ali Jalali

2011
Convergence rates of active learning for maximum likelihood estimation

Kamalika Chaudhuri , Sham M Kakade , Praneeth Netrapalli , Sujay Sanghavi
neural information processing systems 28 1090 -1098

31
2015
Coherent Matrix Completion

Srinadh Bhojanapalli , Sujay Sanghavi , Rachel Ward , Yudong Chen
international conference on machine learning 674 -682

82
2014
Learning the Dependence Graph of Time Series with Latent Factors

Sujay Sanghavi , Ali Jalali
international conference on machine learning 619 -626

28
2012
Finding the Graph of Epidemic Cascades

Praneeth Netrapalli , Sujay Sanghavi
arXiv: Social and Information Networks 40 211 -222

16
2012
Tightness of LP via Max-product Belief Propagation

Sujay Sanghavi , Devavrat Shah
arXiv: Data Structures and Algorithms

9
2005
Completing Any Low-rank Matrix, Provably

Srinadh Bhojanapalli , Sujay Sanghavi , Rachel Ward , Yudong Chen
arXiv: Machine Learning

25
2013
A New Sampling Technique for Tensors.

Srinadh Bhojanapalli , Sujay Sanghavi
arXiv: Machine Learning

30
2015
Dropping Convexity for Faster Semi-definite Optimization

Srinadh Bhojanapalli , Sujay Sanghavi , Anastasios Kyrillidis
arXiv: Machine Learning

26
2015
The local convexity of solving systems of quadratic equations

Sujay Sanghavi , Rachel Ward , Chris D. White
arXiv: Numerical Analysis

39
2015
Tighter low-rank approximation via sampling the leveraged element

Srinadh Bhojanapalli , Sujay Sanghavi , Prateek Jain
symposium on discrete algorithms 902 -920

26
2015
A Dirty Model for Multiple Sparse Regression

Sujay Sanghavi , Ali Jalali , Pradeep Ravikumar
arXiv: Learning

3
2011
Clustering Partially Observed Graphs via Convex Optimization

Sujay Sanghavi , Ali Jalali , Huan Xu , Yudong Chen
international conference on machine learning 1001 -1008

77
2011
Robust PCA via Outlier Pursuit

Constantine Caramanis , Sujay Sanghavi , Huan Xu
neural information processing systems 23 2496 -2504

172
2010
Greedy Subspace Clustering

Constantine Caramanis , Sujay Sanghavi , Dohyung Park
neural information processing systems 27 2753 -2761

44
2014
A New Greedy Algorithm for Multiple Sparse Regression

Sujay Sanghavi , Ali Jalali
arXiv: Machine Learning

2012
Phase Retrieval using Alternating Minimization

Praneeth Netrapalli , Sujay Sanghavi , Prateek Jain
arXiv: Machine Learning

87
2013
The Local Convexity of Solving Quadratic Equations

Sujay Sanghavi , Rachel Ward , Chris D. White

10
2015
Rank-Sparsity Incoherence for Matrix Decomposition

Alan S. Willsky , Sujay Sanghavi , Pablo A. Parrilo , Venkat Chandrasekaran
Siam Journal on Control and Optimization

82
2011