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Regular version of the site
Book chapter
Stochasticity in Algorithmic Statistics for Polynomial Time

Vereshchagin N., Milovanov A.

In bk.: 32nd Computational Complexity Conference. Вадерн: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2017. P. 1-18.

Working paper
Spatially Adaptive Computation Time for Residual Networks

Figurnov M., Collins M. D., Zhu Y. et al.

arXiv:1612.02297. arXiv. Cornell University, 2016

Contacts

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Administrations
Department Head Evgeny Sokolov
Artem Maksaev
Deputy Head Artem Maksaev

+7 495 772-9590
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Оруджева Альбина Александровна
Manager Оруджева Альбина Александровна

+7 495 772-9590
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Two Papers by Dmitry Vetrov Accepted at NIPS Conference

The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS) is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers. All of the key breakthroughs in machine learning over the last 15 years were first presented at this conference. The conference is assigned to the highest category (A*) in the CORE Conference Ranking.

Two reports from Russia will be presented at the main interdisciplinary conference on information processing  ‘Neural Information Processing Systems’. Dmitry Vetrov, Head of the Big Data and Information Retrieval School is co-author of both reports. One of the papers is dedicated to tensorizing neural networks, the other paper is titled ‘On Submodularity of M-Best-Diverse-Labelings’.
Conference website