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The Nips
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#	Item
1	ICML 2017 Publication Agreement This is a publication agreement1 (“this agreement”) regarding a written manuscript currently entitled (“the article”) to be published in PMLR (“the proceedings”). The parties t Add to Reading List Source URL: media.nips.cc Language: English - Date: 2017-05-26 09:48:16
2	IC�� 2017 THE 34TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING S��NE�, ��T�A�� A�G�� 6T� - 11�H, 2017 Add to Reading List Source URL: media.nips.cc Language: English - Date: 2017-04-07 16:26:22
3	An Empirical Study on The Properties of Random Bases for Kernel Methods Maximilian Alber, Pieter-Jan Kindermans, Kristof T. Schütt Technische Universität Berlin Klaus-Robert Müller Add to Reading List Source URL: papers.nips.cc - Date: 2018-02-13 03:24:55
4	 THE 34TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING ICML 2017 SYDNEY, AUSTRALIA Add to Reading List Source URL: media.nips.cc - Date: 2017-07-28 13:11:43
5	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks Anh Nguyen Jason Yosinski Add to Reading List Source URL: papers.nips.cc - Date: 2017-01-12 18:28:45
6	NIPS 2016 Workshops NIPS 2016 Workshop book Workshop organizers make last-minute changes to their schedule. Download this document again to get the lastest changes, or use the Add to Reading List Source URL: media.nips.cc - Date: 2016-12-08 01:12:40
7	Publications of Tor Lattimore [1] Aur´elien Garivier, Emilie Kaufmann, and Tor Lattimore. On explore-then-commit strategies. In Proceedings of the 29th Conference on Neural Information Processing Systems (NIPS. [ Add to Reading List Source URL: downloads.tor-lattimore.com - Date: 2016-10-15 10:07:52
8	This book is unavailable at this time. Please press the back button in your browswer to return to the NIPS website. Add to Reading List Source URL: media.nips.cc - Date: 2015-01-23 12:41:54
9	The Human Kernel Andrew Gordon Wilson CMU Christoph Dann CMU Add to Reading List Source URL: papers.nips.cc - Date: 2015-12-18 17:28:56
10	On-the-Job Learning with Bayesian Decision Theory Keenon Werling Department of Computer Science Stanford University Add to Reading List Source URL: papers.nips.cc - Date: 2015-12-18 17:40:30

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