Raman Arora

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Karen Livescu

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Publications

2016
[i12]
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  - journals/corr/WangALB16
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Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes:
On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR abs/1602.01024 (2016)
2015
[c27]
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  - conf/allerton/WangALS15
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Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro:
Stochastic optimization for deep CCA via nonlinear orthogonal iterations. Allerton 2015: 688-695
[c26]
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Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes:
Unsupervised learning of acoustic features via deep canonical correlation analysis. ICASSP 2015: 4590-4594
[c25]
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Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes:
On Deep Multi-View Representation Learning. ICML 2015: 1083-1092
[i3]
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Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro:
Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations. CoRR abs/1510.02054 (2015)
2014
[c22]
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  - conf/icassp/AroraL14
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Raman Arora, Karen Livescu:
Multi-view learning with supervision for transformed bottleneck features. ICASSP 2014: 2499-2503
[c20]
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  - conf/slt/WangAL14
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Weiran Wang, Raman Arora, Karen Livescu:
Reconstruction of articulatory measurements with smoothed low-rank matrix completion. SLT 2014: 54-59
2013
[c18]
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  - conf/icassp/AroraL13
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Raman Arora, Karen Livescu:
Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains. ICASSP 2013: 7135-7139
[c17]
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  - conf/icml/AndrewABL13
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Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu:
Deep Canonical Correlation Analysis. ICML (3) 2013: 1247-1255
2012
[c15]
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  - conf/allerton/AroraCLS12
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Raman Arora, Andrew Cotter, Karen Livescu, Nathan Srebro:
Stochastic optimization for PCA and PLS. Allerton Conference 2012: 861-868
[c13]
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  - conf/mlslp/AroraL12
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Raman Arora, Karen Livescu:
Kernel CCA for multi-view learning of acoustic features using articulatory measurements. MLSLP 2012: 34-37

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