Amin Jalali
Amin Jalali
Unknown affiliation
Verified email at uw.edu
Title
Cited by
Cited by
Year
Simultaneously structured models with application to sparse and low-rank matrices
S Oymak, A Jalali, M Fazel, YC Eldar, B Hassibi
IEEE Transactions on Information Theory 61 (5), 2886-2908, 2015
2492015
Variational Gram Functions: Convex Analysis and Optimization
A Jalali, M Fazel, L Xiao
SIAM Journal on Optimization 27 (4), 2634-2661, 2017
162017
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
A Taghvaei, A Jalali
arXiv preprint arXiv:1902.07197, 2019
92019
Subspace clustering with missing and corrupted data
Z Charles, A Jalali, R Willett
arXiv preprint arXiv:1707.02461, 2017
92017
Subspace clustering via tangent cones
A Jalali, R Willett
Advances in Neural Information Processing Systems, 6744-6753, 2017
82017
Relative density and exact recovery in heterogeneous stochastic block models
A Jalali, Q Han, I Dumitriu, M Fazel
arXiv preprint arXiv:1512.04937, 2015
62015
A convex method for learning d-valued models
A Jalali, M Fazel
Global Conference on Signal and Information Processing (GlobalSIP), 2013 …, 2013
52013
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes
A Jalali, R Willett
arXiv preprint arXiv:1802.09511, 2018
42018
Noisy estimation of simultaneously structured models: Limitations of convex relaxation
S Oymak, A Jalali, M Fazel, B Hassibi
52nd IEEE Conference on Decision and Control, 6019-6024, 2013
42013
Convex Optimization Algorithms and Statistical Bounds for Learning Structured Models
A Jalali
32016
Exploiting tradeoffs for exact recovery in heterogeneous stochastic block models
A Jalali, Q Han, I Dumitriu, M Fazel
Advances in Neural Information Processing Systems, 4871-4879, 2016
32016
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
A Jalali, A Javanmard, M Fazel
arXiv preprint arXiv:1904.05338, 2019
12019
Sparse Subspace Clustering with Missing and Corrupted Data
Z Charles, A Jalali, R Willett
2018 IEEE Data Science Workshop (DSW), 180-184, 2018
12018
Persistent Reductions in Regularized Loss Minimization for Variable Selection
A Jalali
arXiv preprint arXiv:2011.14549, 2020
2020
Sparse Transition Matrix Estimation for Sub-Gaussian Autoregressive Processes with Missing Data
A Jalali, R Willett
2018 Annual American Control Conference (ACC), 1881-1886, 2018
2018
Error bounds for Bregman denoising and structured natural parameter estimation
A Jalali, J Saunderson, M Fazel, B Hassibi
2017 IEEE International Symposium on Information Theory (ISIT), 2273-2277, 2017
2017
Subspace Clustering via Tangent Cones Supplementary Material
A Jalali, R Willett
2017
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