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  AdaGAN: Boosting Generative Models

Tolstikhin, I., Gelly, S., Bousquet, O., Simon-Gabriel, C.-J., & Schölkopf, B. (2018). AdaGAN: Boosting Generative Models. In I. Guyon, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 30 (pp. 5425-5434). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/7126-adagan-boosting-generative-models.

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 Creators:
Tolstikhin, I.1, Author           
Gelly, S.2, Author
Bousquet, O.2, Author
Simon-Gabriel, C.-J.1, Author           
Schölkopf, B1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20172018-06
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: TolGelBouSimSch17
URI: https://papers.nips.cc/paper/7126-adagan-boosting-generative-models
 Degree: -

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Title: 31st Annual Conference on Neural Information Processing Systems (NIPS 2017)
Place of Event: Long Beach, CA
Start-/End Date: 2017-12-04 - 2017-12-09

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Title: Advances in Neural Information Processing Systems 30
  Subtitle : 31st Annual Conference on Neural Information Processing Systems (NIPS 2017)
Source Genre: Proceedings
 Creator(s):
Guyon, I.1, Editor
von Luxburg, U.2, Author           
Bengio, S.1, Editor
Wallach, H.1, Editor
Fergus, R.1, Editor
Vishwanathan, S.1, Editor
Garnett, R.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
2 Max Planck Fellow Group Statistical Learning Theory, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_3031011            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 8 Sequence Number: - Start / End Page: 5425 - 5434 Identifier: URI: https://papers.nips.cc/paper/2017
ISBN: 978-1-5108-6096-4