Raman Arora

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Karen LivescuTTI-ChicagoDirección de correo verificada de ttic.edu
Jeffrey A. BilmesProfessor of Electrical & Computer Engineering & Computer Science, University of Washington SeattleDirección de correo verificada de uw.edu
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityDirección de correo verificada de northwestern.edu
Weiran WangUniversity of IowaDirección de correo verificada de uiowa.edu
Nathan SrebroProfessor, TTIC and University of ChicagoDirección de correo verificada de ttic.edu
Heidi ChristensenUniversity of SheffieldDirección de correo verificada de sheffield.ac.uk
Elmar NöthUniversity of Erlangen-NurembergDirección de correo verificada de informatik.uni-erlangen.de
Frank RudziczDalhousie University, Computer Science ; Vector Institute for Artificial IntelligenceDirección de correo verificada de dal.ca
Mingyi HongAssociate Professor, University of Minnesota; Amazon ScholarDirección de correo verificada de umn.edu
Adrian BentonGoogle ResearchDirección de correo verificada de google.com
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganDirección de correo verificada de umich.edu
Ofer DekelMicrosoft ResearchDirección de correo verificada de microsoft.com
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Dirección de correo verificada de google.com
Mark DredzeJohns Hopkins UniversityDirección de correo verificada de cs.jhu.edu
Mo YuWeChat AI, TencentDirección de correo verificada de tencent.com
Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonDirección de correo verificada de uw.edu
pushpendre rastogiGoogle DeepmindDirección de correo verificada de google.com
Benjamin Van DurmeJohns Hopkins University / MicrosoftDirección de correo verificada de jhu.edu
Mark Hasegawa-JohnsonProfessor of Electrical and Computer Engineering, University of IllinoisDirección de correo verificada de illinois.edu
Charles R. DyerProfessor of Computer Science, University of Wisconsin - MadisonDirección de correo verificada de cs.wisc.edu

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Raman Arora

Department of Computer Science, Johns Hopkins University

Dirección de correo verificada de cs.jhu.edu - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep canonical correlation analysis G Andrew, R Arora, J Bilmes, K Livescu International Conference on Machine Learning (ICML), 1247-1255, 2013	2434	2013
On Deep Multi-View Representation Learning W Wang, R Arora, K Livescu, J Bilmes International Conference on Machine Learning (ICML), 2015	1199	2015
Understanding deep neural networks with rectified linear units R Arora, A Basu, P Mianjy, A Mukherjee International Conference on Learning Representations (ICLR), 2018	823	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	442	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	247*	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	236	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	228	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	193	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	188	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	166	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	156	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	114	2016
Stochastic optimization of PCA with capped MSG R Arora, A Cotter, N Srebro Advances in Neural Information Processing Systems (NIPS), 1815-1823, 2013	109	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	103	2015
Machine unlearning via algorithmic stability E Ullah, T Mai, A Rao, RA Rossi, R Arora Conference on Learning Theory, 4126-4142, 2021	101	2021
On the implicit bias of dropout P Mianjy, R Arora, R Vidal International conference on machine learning, 3540-3548, 2018	92	2018
Kernel CCA for multi-view learning of acoustic features using articulatory measurements. R Arora, K Livescu MLSLP, 34-37, 2012	90	2012
Is network the bottleneck of distributed training? Z Zhang, C Chang, H Lin, Y Wang, R Arora, X Jin Proceedings of the Workshop on Network Meets AI & ML, 8-13, 2020	87	2020
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	86	2015

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