• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
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

Machine Learning and Information Retrieval

Today machine learning is used in countless Internet projects. Many well known IT companies (such as Yandex, Google, Facebook, and Microsoft), base key technologies on it.

The seminars consider articles and research papers on a wide range of subjects related to machine learning and information retrieval:

  •  web research,
  •  advertisement CTR (click through rate) prediction,
  •  recommender (recommendation) systems,
  •  topic modelling,
  •  predicting user behavior,
  •  and many other areas of interest.

See Seminar webpage for more detailed information.

Seminar led by: Pavel Serdyukov and Mikhail Roizner