Negahban, Sahand: search on Z-Library

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1

Estimation of (near) low-rank matrices with noise and high-dimensional scaling

Negahban, Sahand, Wainwright, Martin J.

Journal:

The Annals of Statistics

Year:

2011

Language:

english

File:

PDF, 398 KB

english, 2011

2

Analysis of Machine Learning Techniques for Heart Failure Readmissions

Mortazavi, Bobak J., Downing, Nicholas S., Bucholz, Emily M., Dharmarajan, Kumar, Manhapra, Ajay, Li, Shu-Xia, Negahban, Sahand N., Krumholz, Harlan M.

Journal:

Circulation Cardiovascular Quality and Outcomes

Year:

2016

Language:

english

File:

PDF, 1.23 MB

english, 2016

3

A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

Negahban, Sahand N., Ravikumar, Pradeep, Wainwright, Martin J., Yu, Bin

Journal:

Statistical Science

Year:

2012

Language:

english

File:

PDF, 383 KB

english, 2012

4

Special Issue on Sparsity and Regularization Methods || A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers

Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright and Bin Yu

Journal:

Statistical Science

Year:

2012

Language:

english

File:

PDF, 2.53 MB

english, 2012

5

Fast global convergence of gradient methods for high-dimensional statistical recovery

Agarwal, Alekh, Negahban, Sahand, Wainwright, Martin J.

Journal:

The Annals of Statistics

Year:

2012

Language:

english

File:

PDF, 416 KB

english, 2012

6

Rank Centrality: Ranking from Pairwise Comparisons

Negahban, Sahand, Oh, Sewoong, Shah, Devavrat

Journal:

Operations Research

Year:

2016

Language:

english

File:

PDF, 436 KB

english, 2016

7

Understanding adversarial training: Increasing local stability of supervised models through robust optimization

Shaham, Uri, Yamada, Yutaro, Negahban, Sahand

Journal:

Year:

2018

Language:

english

File:

PDF, 1.67 MB

english, 2018

8

[IEEE 2014 48th Annual Conference on Information Sciences and Systems (CISS) - Princeton, NJ, USA (2014.03.19-2014.03.21)] 2014 48th Annual Conference on Information Sciences and Systems (CISS) - Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions

Agarwal, Alekh, Negahban, Sahand N., Wainwright, Martin J.

Year:

2014

Language:

english

File:

PDF, 482 KB

english, 2014

9

[IEEE 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) - Monticello, IL, USA (2012.10.1-2012.10.5)] 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) - Learning sparse Boolean polynomials

Negahban, Sahand, Shah, Devavrat

Year:

2012

Language:

english

File:

PDF, 297 KB

english, 2012

10

[IEEE 2012 IEEE Statistical Signal Processing Workshop (SSP) - Ann Arbor, MI, USA (2012.08.5-2012.08.8)] 2012 IEEE Statistical Signal Processing Workshop (SSP) - FASt global convergence of gradient methods for solving regularized M-estimation

Agarwal, Alekh, Negahban, Sahand, Wainwright, Martin J.

Year:

2012

Language:

english

File:

PDF, 492 KB

english, 2012

11

[ACM Press the 21st ACM international conference - Maui, Hawaii, USA (2012.10.29-2012.11.02)] Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12 - Scaling multiple-source entity resolution using statistically efficient transfer learning

Negahban, Sahand N., Rubinstein, Benjamin I.P., Gemmell, Jim Gemmell

Year:

2012

Language:

english

File:

PDF, 657 KB

english, 2012

12

Restricted strong convexity implies weak submodularity

Elenberg, Ethan R., Khanna, Rajiv, Dimakis, Alexandros G., Negahban, Sahand

Journal:

The Annals of Statistics

Year:

2018

Language:

english

File:

PDF, 425 KB

english, 2018

13

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

Agarwal, Alekh, Negahban, Sahand, Wainwright, Martin J.

Journal:

The Annals of Statistics

Year:

2012

Language:

english

File:

PDF, 266 KB

english, 2012

14

Super-resolution Estimation of Cyclic Arrival Rates

Chen, Ningyuan, Lee, Donald, Negahban, Sahand

Journal:

SSRN Electronic Journal

Year:

2016

Language:

english

File:

PDF, 716 KB

english, 2016

15

NOISY MATRIX DECOMPOSITION VIA CONVEX RELAXATION: OPTIMAL RATES IN HIGH DIMENSIONS

Alekh Agarwal, Sahand Negahban and Martin J. Wainwright

Journal:

The Annals of Statistics

Year:

2012

Language:

english

File:

PDF, 1.99 MB

english, 2012

16

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures

Mortazavi, Bobak, Desai, Nihar, Zhang, Jing, Coppi, Andreas, Warner, Frederick, Krumholz, Harlan, Negahban, Sahand

Journal:

IEEE Journal of Biomedical and Health Informatics

Year:

2017

Language:

english

File:

PDF, 410 KB

english, 2017

17

[IEEE 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton) - Monticello, IL, USA (2015.9.29-2015.10.2)] 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton) - Individualized rank aggregation using nuclear norm regularization

Lu, Yu, Negahban, Sahand N.

Year:

2015

Language:

english

File:

PDF, 558 KB

english, 2015

18

Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention

Mortazavi, Bobak J., Bucholz, Emily M., Desai, Nihar R., Huang, Chenxi, Curtis, Jeptha P., Masoudi, Frederick A., Shaw, Richard E., Negahban, Sahand N., Krumholz, Harlan M.

Journal:

JAMA Network Open

Year:

2019

Language:

english

File:

PDF, 920 KB

english, 2019

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