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Rong Ge 0001

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 Tengyu Ma 0001

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Publications

2022
[j13]
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Rong Ge, Tengyu Ma:
On the optimization landscape of tensor decompositions. Math. Program. 193(2): 713-759 (2022)
2020
[c52]
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  - electronic edition @ neurips.cc (open access)
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  - conf/nips/Wang0LM020
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Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge:
Beyond Lazy Training for Over-parameterized Tensor Decomposition. NeurIPS 2020
[i56]
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  - journals/corr/abs-2010-11356
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Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge:
Beyond Lazy Training for Over-parameterized Tensor Decomposition. CoRR abs/2010.11356 (2020)
2018
[c41]
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  - conf/iclr/0001LM18
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Rong Ge, Jason D. Lee, Tengyu Ma:
Learning One-hidden-layer Neural Networks with Landscape Design. ICLR (Poster) 2018
2017
[c35]
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  - conf/colt/Lee0MRA17
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Holden Lee, Rong Ge, Tengyu Ma, Andrej Risteski, Sanjeev Arora:
On the Ability of Neural Nets to Express Distributions. COLT 2017: 1271-1296
[c34]
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  - conf/icml/Arora0LMZ17
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Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang:
Generalization and Equilibrium in Generative Adversarial Nets (GANs). ICML 2017: 224-232
[c31]
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Rong Ge, Tengyu Ma:
On the Optimization Landscape of Tensor Decompositions. NIPS 2017: 3653-3663
[c29]
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  - conf/stoc/Arora0MR17
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Sanjeev Arora, Rong Ge, Tengyu Ma, Andrej Risteski:
Provable learning of noisy-OR networks. STOC 2017: 1057-1066
[i39]
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  - journals/corr/Lee0RMA17
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Holden Lee, Rong Ge, Andrej Risteski, Tengyu Ma, Sanjeev Arora:
On the ability of neural nets to express distributions. CoRR abs/1702.07028 (2017)
[i38]
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  - journals/corr/Arora0LMZ17
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Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang:
Generalization and Equilibrium in Generative Adversarial Nets (GANs). CoRR abs/1703.00573 (2017)
[i35]
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  - journals/corr/0001M17
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Rong Ge, Tengyu Ma:
On the Optimization Landscape of Tensor Decompositions. CoRR abs/1706.05598 (2017)
[i32]
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  - journals/corr/abs-1711-00501
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Rong Ge, Jason D. Lee, Tengyu Ma:
Learning One-hidden-layer Neural Networks with Landscape Design. CoRR abs/1711.00501 (2017)
2016
[c25]
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  - conf/icml/AroraGKMM16
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Sanjeev Arora, Rong Ge, Frederic Koehler, Tengyu Ma, Ankur Moitra:
Provable Algorithms for Inference in Topic Models. ICML 2016: 2859-2867
[c24]
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  - conf/nips/GeLM16
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Rong Ge, Jason D. Lee, Tengyu Ma:
Matrix Completion has No Spurious Local Minimum. NIPS 2016: 2973-2981
[i29]
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Rong Ge, Jason D. Lee, Tengyu Ma:
Matrix Completion has No Spurious Local Minimum. CoRR abs/1605.07272 (2016)
[i28]
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  - journals/corr/AroraGKMM16
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Sanjeev Arora, Rong Ge, Frederic Koehler, Tengyu Ma, Ankur Moitra:
Provable Algorithms for Inference in Topic Models. CoRR abs/1605.08491 (2016)
[i26]
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  - journals/corr/AroraGMR16
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Sanjeev Arora, Rong Ge, Tengyu Ma, Andrej Risteski:
Provable learning of Noisy-or Networks. CoRR abs/1612.08795 (2016)
2015
[c22]
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  - conf/approx/GeM15
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Rong Ge, Tengyu Ma:
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms. APPROX-RANDOM 2015: 829-849
[c20]
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Sanjeev Arora, Rong Ge, Tengyu Ma, Ankur Moitra:
Simple, Efficient, and Neural Algorithms for Sparse Coding. COLT 2015: 113-149
[i24]
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Sanjeev Arora, Rong Ge, Tengyu Ma, Ankur Moitra:
Simple, Efficient, and Neural Algorithms for Sparse Coding. CoRR abs/1503.00778 (2015)
[i22]
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Rong Ge, Tengyu Ma:
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms. CoRR abs/1504.05287 (2015)
2014
[c12]
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  - conf/icml/AroraBGM14
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Sanjeev Arora, Aditya Bhaskara, Rong Ge, Tengyu Ma:
Provable Bounds for Learning Some Deep Representations. ICML 2014: 584-592
[i18]
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  - journals/corr/AroraBGM14
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Sanjeev Arora, Aditya Bhaskara, Rong Ge, Tengyu Ma:
More Algorithms for Provable Dictionary Learning. CoRR abs/1401.0579 (2014)
2013
[i9]
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  - journals/corr/AroraBGM13
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Sanjeev Arora, Aditya Bhaskara, Rong Ge, Tengyu Ma:
Provable Bounds for Learning Some Deep Representations. CoRR abs/1310.6343 (2013)

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