Raman Arora

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Citations	8825	6798
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Karen LivescuTTI-ChicagoVerified email at ttic.edu
Jeffrey A. BilmesProfessor of Electrical & Computer Engineering & Computer Science, University of Washington SeattleVerified email at uw.edu
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityVerified email at northwestern.edu
Weiran WangUniversity of IowaVerified email at uiowa.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 RudziczDalhousie University, Computer Science ; Vector Institute for Artificial IntelligenceVerified email at dal.ca
Mingyi HongAssociate Professor, University of Minnesota; Amazon ScholarVerified email at umn.edu
Adrian BentonGoogle ResearchVerified email at google.com
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
Ofer DekelMicrosoft ResearchVerified email at microsoft.com
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
Mo YuWeChat AI, TencentVerified email at tencent.com
Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonVerified email at uw.edu
pushpendre rastogiGoogle DeepmindVerified email at google.com
Benjamin Van DurmeJohns Hopkins University / MicrosoftVerified email at jhu.edu
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
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


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Deep canonical correlation analysis G Andrew, R Arora, J Bilmes, K Livescu International Conference on Machine Learning (ICML), 1247-1255, 2013	2359	2013
On Deep Multi-View Representation Learning W Wang, R Arora, K Livescu, J Bilmes International Conference on Machine Learning (ICML), 2015	1166	2015
Understanding deep neural networks with rectified linear units R Arora, A Basu, P Mianjy, A Mukherjee International Conference on Learning Representations (ICLR), 2018	799	2018
Fetchsgd: Communication-efficient federated learning with sketching D Rothchild, A Panda, E Ullah, N Ivkin, I Stoica, V Braverman, J Gonzalez, ... International Conference on Machine Learning, 8253-8265, 2020	417	2020
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	243*	2017
Communication-efficient distributed SGD with sketching N Ivkin, D Rothchild, E Ullah, I Stoica, R Arora Advances in Neural Information Processing Systems 32, 2019	225	2019
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	223	2012
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	185	2019
Stochastic optimization for PCA and PLS R Arora, A Cotter, K Livescu, N Srebro 2012 50th annual allerton conference on communication, control, and …, 2012	184	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	164	2015
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	141	2018
Learning multiview embeddings of twitter users A Benton, R Arora, M Dredze Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	113	2016
Stochastic optimization of PCA with capped MSG R Arora, A Cotter, N Srebro Advances in Neural Information Processing Systems (NIPS), 1815-1823, 2013	108	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	104	2013
Multiview LSA: Representation Learning via Generalized CCA P Rastogi, B Van Durme, R Arora	102	2015
Machine unlearning via algorithmic stability E Ullah, T Mai, A Rao, RA Rossi, R Arora Conference on Learning Theory, 4126-4142, 2021	96	2021
On the implicit bias of dropout P Mianjy, R Arora, R Vidal International conference on machine learning, 3540-3548, 2018	90	2018
Kernel CCA for multi-view learning of acoustic features using articulatory measurements. R Arora, K Livescu MLSLP, 34-37, 2012	88	2012
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	84	2015
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	81	2014

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