Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and 
Soft-thresholding Algorithm

Gomez Rodriguez, Manuel; Song, Le; Daneshmand, Hadi; Schölkopf, Bernhard

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Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm

Gomez Rodriguez, M., Song, L., Daneshmand, H., & Schölkopf, B. (2016). Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm. Journal of Machine Learning Research, 17: 90, pp. 1-29.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-0678-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-0679-3

Genre: Journal Article

Latex : Estimating Diffusion Networks: {R}ecovery Conditions, Sample Complexity and Soft-thresholding Algorithm

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http://jmlr.org/papers/volume17/14-430/14-430.pdf (Publisher version) Open Access status unknown

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Creators:
Gomez Rodriguez, Manuel¹, Author
Song, Le², Author
Daneshmand, Hadi², Author
Schölkopf, Bernhard², Author

Affiliations:
1Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2016

Publication Status: Published online

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Identifiers: BibTex Citekey: GomezRodriguezJMLR2016

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Title: Journal of Machine Learning Research

Abbreviation : JMLR

Source Genre: Journal

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Publ. Info: JMLR

Pages: - Volume / Issue: 17 Sequence Number: 90 Start / End Page: 1 - 29 Identifier: ISSN: 1533-7928