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Alexander Rakhlin

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 Tengyuan Liang

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Publications

2020
[j12]
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  - journals/jmlr/CaiLR20
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T. Tony Cai, Tengyuan Liang, Alexander Rakhlin:
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information. J. Mach. Learn. Res. 21: 11:1-11:34 (2020)
[c62]
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  - conf/colt/LiangRZ20
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Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai:
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. COLT 2020: 2683-2711
2019
[c58]
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  - conf/aistats/LiangPRS19
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Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes:
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. AISTATS 2019: 888-896
[i46]
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  - journals/corr/abs-1908-10292
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Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai:
On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. CoRR abs/1908.10292 (2019)
2018
[i37]
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  - journals/corr/abs-1808-00387
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Tengyuan Liang, Alexander Rakhlin:
Just Interpolate: Kernel "Ridgeless" Regression Can Generalize. CoRR abs/1808.00387 (2018)
2017
[j10]
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  - journals/tnse/CaiLR17
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T. Tony Cai, Tengyuan Liang, Alexander Rakhlin:
On Detection and Structural Reconstruction of Small-World Random Networks. IEEE Trans. Netw. Sci. Eng. 4(3): 165-176 (2017)
[i32]
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  dblp key:
  - journals/corr/abs-1711-01530
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Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes:
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. CoRR abs/1711.01530 (2017)
2016
[i27]
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  - journals/corr/CaiLR16
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T. Tony Cai, Tengyuan Liang, Alexander Rakhlin:
On Detection and Structural Reconstruction of Small-World Random Networks. CoRR abs/1604.06474 (2016)
2015
[c34]
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  - conf/colt/BelloniLNR15
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Alexandre Belloni, Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin:
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. COLT 2015: 240-265
[c33]
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  - conf/colt/LiangRS15
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Tengyuan Liang, Alexander Rakhlin, Karthik Sridharan:
Learning with Square Loss: Localization through Offset Rademacher Complexity. COLT 2015: 1260-1285
[i23]
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  - journals/corr/BelloniLNR15
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Alexandre Belloni, Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin:
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. CoRR abs/1501.07242 (2015)
[i21]
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  - journals/corr/LiangRS15
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Tengyuan Liang, Alexander Rakhlin, Karthik Sridharan:
Learning with Square Loss: Localization through Offset Rademacher Complexity. CoRR abs/1502.06134 (2015)
2014
[i15]
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  - journals/corr/LiangNR14
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Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin:
On Zeroth-Order Stochastic Convex Optimization via Random Walks. CoRR abs/1402.2667 (2014)

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