Raman Arora

Cited by

	All	Since 2016
Citations	4050	3526
h-index	27	25
i10-index	49	43

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Co-authors

Karen LivescuTTI-ChicagoVerified email at ttic.edu
Jeffrey A. BilmesProfessor of Electrical Engineering and Computer Science, University of Washington SeattleVerified email at uw.edu
Han LiuAssistant Professor, Operations Research and Financial Engineering, Princeton UniversityVerified email at princeton.edu
Weiran WangGoogleVerified email at ttic.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Heidi ChristensenUniversity of SheffieldVerified email at sheffield.ac.uk
Elmar NöthUniversity of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
Frank RudziczUniversity of Toronto, Department of Computer Science; Vector Institute for Artificial IntelligenceVerified email at cs.toronto.edu
Mingyi HongAssociate Professor, University of MinnesotaVerified email at umn.edu
Maya GuptaResearcher, Google Research (Formerly Prof. at Univ. Washington)Verified email at google.com
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganVerified email at umich.edu
Ofer DekelMicrosoft ResearchVerified email at microsoft.com
Adrian BentonML Engineer at Bloomberg LPVerified email at bloomberg.net
Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
Maryam FazelProfessor of Electrical and Computer Engineering, University of WashingtonVerified email at uw.edu
Mo YuIBM ResearchVerified email at us.ibm.com
pushpendre rastogiAmazonVerified email at amazon.com
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesVerified email at cs.jhu.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesVerified email at google.com
Charles R. DyerProfessor of Computer Science, University of Wisconsin - MadisonVerified email at cs.wisc.edu

Raman Arora

Department of Computer Science, Johns Hopkins University

Verified email at cs.jhu.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep canonical correlation analysis G Andrew, R Arora, J Bilmes, K Livescu International Conference on Machine Learning (ICML), 1247-1255, 2013	1163	2013
On Deep Multi-View Representation Learning W Wang, R Arora, K Livescu, J Bilmes International Conference on Machine Learning (ICML), 2015	512	2015
Understanding deep neural networks with rectified linear units R Arora, A Basu, P Mianjy, A Mukherjee International Conference on Learning Representations (ICLR), 2018	292	2018
Stochastic optimization for PCA and PLS R Arora, A Cotter, K Livescu, N Srebro 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012	152	2012
Online bandit learning against an adaptive adversary: from regret to policy regret R Arora, O Dekel, A Tewari International Conference on Machine Learning (ICML), 2012	132	2012
Unsupervised learning of acoustic features via deep canonical correlation analysis W Wang, R Arora, K Livescu, JA Bilmes 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015	122	2015
Stochastic optimization of PCA with capped MSG R Arora, A Cotter, N Srebro Advances in Neural Information Processing Systems (NIPS), 1815-1823, 2013	91	2013
Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains R Arora, K Livescu Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013	77	2013
Learning multiview embeddings of twitter users A Benton, R Arora, M Dredze Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	76	2016
Multiview LSA: Representation Learning via Generalized CCA P Rastogi, B Van Durme, R Arora	76	2015
Enter the matrix: Interpreting unsupervised feature learning with matrix decomposition to discover hidden knowledge in high-throughput omics data GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, CS Greene, LA Goff, ... bioRxiv, 196915, 2017	73*	2017
Deep generalized canonical correlation analysis A Benton, H Khayrallah, B Gujral, DA Reisinger, S Zhang, R Arora Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019	64	2019
Accelerated mini-batch randomized block coordinate descent method T Zhao, M Yu, Y Wang, R Arora, H Liu Advances in Neural Information Processing Systems (NIPS), 3329-3337, 2014	63	2014
Stochastic variance reduced optimization for nonconvex sparse learning X Li, T Zhao, R Arora, H Liu, J Haupt International Conference on Machine Learning (ICML), 917-925, 2016	61	2016
Kernel CCA for multi-view learning of acoustic features using articulatory measurements R Arora, K Livescu Symposium on Machine Learning in Speech and Language Processing, 2012	60	2012
Symmetry, saddle points, and global geometry of nonconvex matrix factorization X Li, Z Wang, J Lu, R Arora, J Haupt, H Liu, T Zhao arXiv preprint arXiv:1612.09296 1, 5.1-7.1, 2016	57	2016
Stochastic optimization for deep CCA via nonlinear orthogonal iterations W Wang, R Arora, K Livescu, N Srebro 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015	54	2015
Clustering by left-stochastic matrix factorization R Arora, M Gupta, A Kapila, M Fazel International Conference on Machine Learning (ICML), 761-768, 2011	52	2011
Projective joint invariants for matching curves in camera networks R Arora, CR Dyer Distributed video sensor networks (Editors: Bhanu, Bir; Ravishankar, Chinya …, 2011	51*	2011
NeuroSpeech: An open-source software for Parkinson's speech analysis JR Orozco-Arroyave, JC Vásquez-Correa, JF Vargas-Bonilla, R Arora, ... Digital Signal Processing 77, 207-221, 2018	49	2018

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