Sahand Negahban Coauthor index pubzone.org

Facets and more with CompleteSearch

Listing of the DBLP Bibliography Server - FAQ
Other views (modern): by type - by year
Other mirrors: Trier I - Trier II


Ask others: ACM DL/Guide - CiteSeerx - CSB - MetaPress - Google - Bing - Yahoo
DBLP keys2017
i13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand Negahban: On Approximation Guarantees for Greedy Low Rank Optimization. CoRR abs/1703.02721 (2017)
i12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand Negahban, Joydeep Ghosh: Scalable Greedy Feature Selection via Weak Submodularity. CoRR abs/1703.02723 (2017)
i11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu: Learning from Comparisons and Choices. CoRR abs/1704.07228 (2017)
j3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Sewoong Oh, Devavrat Shah: Rank Centrality: Ranking from Pairwise Comparisons. Operations Research 65(1): 266-287 (2017)
2016
i10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEthan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis, Sahand Negahban: Restricted Strong Convexity Implies Weak Submodularity. CoRR abs/1612.00804 (2016)
2015
i9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLUri Shaham, Yutaro Yamada, Sahand Negahban: Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR abs/1511.05432 (2015)
2014
c11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions. CISS 2014: 1-2
2012
i8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions .CoRR abs/1207.4421 (2012)
i7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Benjamin I. P. Rubinstein, Jim Gemmell: Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning .CoRR abs/1208.1860 (2012)
i6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Sewoong Oh, Devavrat Shah: Iterative Ranking from Pair-wise Comparisons .CoRR abs/1209.1688 (2012)
j2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Martin J. Wainwright: Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise. Journal of Machine Learning Research 13: 1665-1697 (2012)
c10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Devavrat Shah: Learning sparse Boolean polynomials. Allerton Conference 2012: 2032-2036
c9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Benjamin I. P. Rubinstein, Jim Gemmell: Scaling multiple-source entity resolution using statistically efficient transfer learning. CIKM 2012: 2224-2228
c8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions. NIPS 2012: 1547-1555
c7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Sewoong Oh, Devavrat Shah: Iterative ranking from pair-wise comparisons. NIPS 2012: 2483-2491
c6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: FASt global convergence of gradient methods for solving regularized M-estimation. SSP 2012: 409-412
2011
i5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions .CoRR abs/1102.4807 (2011)
i4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Fast global convergence of gradient methods for high-dimensional statistical recovery .CoRR abs/1104.4824 (2011)
j1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Martin J. Wainwright: Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block 1/ INFINITY -Regularization. IEEE Trans. Information Theory 57(6): 3841-3863 (2011)
c5no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. ICML 2011: 1129-1136
2010
i3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Martin J. Wainwright: Restricted strong convexity and weighted matrix completion: Optimal bounds with noise .CoRR abs/1009.2118 (2010)
i2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu: A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers .CoRR abs/1010.2731 (2010)
c4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Martin J. Wainwright: Estimation of (near) low-rank matrices with noise and high-dimensional scaling. ICML 2010: 823-830
c3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Sahand Negahban, Martin J. Wainwright: Fast global convergence rates of gradient methods for high-dimensional statistical recovery. NIPS 2010: 37-45
2009
i1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Martin J. Wainwright: Simultaneous support recovery in high dimensions: Benefits and perils of block l1/linfinity-regularization .CoRR abs/0905.0642 (2009)
c2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu: A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers. NIPS 2009: 1348-1356
2008
c1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Martin J. Wainwright: Phase transitions for high-dimensional joint support recovery. NIPS 2008: 1161-1168

Coauthor Index

1Alekh Agarwal[c11] [i8] [c8] [c6] [i5] [i4] [c5] [c3]
2Alexandros G. Dimakis[i13] [i12] [i10]
3Ethan R. Elenberg[i13] [i12] [i10]
4Jim Gemmell[i7] [c9]
5Joydeep Ghosh[i12]
6Rajiv Khanna[i13] [i12] [i10]
7Sewoong Oh[i11] [j3] [i6] [c7]
8Pradeep Ravikumar[i2] [c2]
9Benjamin I. P. Rubinstein[i7] [c9]
10Devavrat Shah[j3] [i6] [c10] [c7]
11Uri Shaham[i9]
12Kiran Koshy Thekumparampil[i11]
13Martin J. Wainwright[c11] [i8] [j2] [c8] [c6] [i5] [i4] [j1] [c5] [i3] [i2] [c4] [c3] [i1] [c2] [c1]
14Jiaming Xu[i11]
15Yutaro Yamada[i9]
16Bin Yu 0001[i2] [c2]

 

Last update 2017-06-09 03:31 CEST by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page