引用次数
引用: 8,204
H-指数: 39
I10-指数 : 69
出版物: 97
Deep Canonical Correlation Analysis
Karen Livescu , Galen Andrew , Jeff Bilmes , Raman Arora
international conference on machine learning 1247 -1255
1,789
2013
On Deep Multi-View Representation Learning
Karen Livescu , Jeff Bilmes , Weiran Wang , Raman Arora
international conference on machine learning 1083 -1092
848
2015
Consensus Ranking with Signed Permutations
Marina Meila , Raman Arora
international conference on artificial intelligence and statistics 117 -125
3
2013
Similarity-based clustering by left-stochastic matrix factorization
Amol Kapila , Maryam Fazel , Maya R. Gupta , Raman Arora
Journal of Machine Learning Research 14 ( 1) 1715 -1746
14
2013
Robust Stochastic Principal Component Analysis
Gilad Lerman , Raman Arora , Teng Zhang , John Goes
international conference on artificial intelligence and statistics 33 266 -274
33
2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method
Raman Arora , Tuo Zhao , Yiming Wang , Han Liu
neural information processing systems 27 3329 -3337
45
2014
On Learning Rotations
Raman Arora
neural information processing systems 22 55 -63
16
2009
Stochastic Optimization of PCA with Capped MSG
Nati Srebro , Andy Cotter , Raman Arora
neural information processing systems 26 1815 -1823
36
2013
Stochastic optimization for multiview representation learning using partial least squares
Raman Arora , Poorya Mianjy , Teodor V. Marinov
international conference on machine learning 2859 -2867
32
2016
Group theoretical methods in signal processing: learning similarities, transformations and invariants
William A. Sethares , Raman Arora
University of Wisconsin at Madison
7
2009
Deep Generalized Canonical Correlation Analysis
Adrian Benton , Raman Arora , Biman Gujral , Dee Ann Reisinger
arXiv: Learning
124
2017
Stochastic Approximation for Canonical Correlation Analysis
Nati Srebro , Raman Arora , Poorya Mianjy , Teodor Vanislavov Marinov
neural information processing systems 30 4775 -4784
14
2017
Understanding Deep Neural Networks with Rectified Linear Units.
Amitabh Basu , Raman Arora , Poorya Mianjy , Anirbit Mukherjee
Electron. Colloquium Comput. Complex. 24 98
550
2017
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization
Raman Arora , Poorya Mianjy
international conference on machine learning 3531 -3539
2018
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Raman Arora , Poorya Mianjy , Teodor Vanislavov Marinov , Enayat Ullah
neural information processing systems 31 7311 -7321
2
2018
Enter the matrix: Interpreting unsupervised feature learning with matrix decomposition to discover hidden knowledge in high-throughput omics data
Alexander V. Favorov , Aedin C. Culhane , Yifeng Li , Raman Arora
bioRxiv 196915
4
2017
Policy regret in repeated games
Michael Dinitz , Raman Arora , Mehryar Mohri , Teodor Vanislavov Marinov
neural information processing systems 31 6732 -6741
6
2018
Differentially Private Robust Low-Rank Approximation
Vladimir braverman , Raman Arora , Jalaj Upadhyay
neural information processing systems 31 4137 -4145
3
2018
On Dropout and Nuclear Norm Regularization
Raman Arora , Poorya Mianjy
arXiv: Learning
5
2019
On the Implicit Bias of Dropout
Raman Arora , Rene Vidal , Poorya Mianjy
arXiv: Learning
16
2018