Dmitry Vetrov

I am the head of Bayesian Methods research group. I graduated from Moscow State University (MSU) in 2003 and obtained PhD degree at the department of Computational Mathematics and Cybernetics of MSU in 2006. Currently I am an associate professor at Higher School of Economics. I also read lectures at Yandex School of Data Analysis and at Moscow State University.

I believe that we’re moving towards The New Mathematics or the mathematics of big data age where compeletely new learning, inference, optimization and storage technologies will appear. The first steps (Deep Learning, Tensor Decomposition, Stochastic Optimization) have been already made but many more are to come. Creation of such new technologies is our mission.

My hobby is World History, Geopolitics, and World War II. You may find some of my public lectures on various historical events on youtube (in Russian).

One of the things I love in my job is having PhD students who are smarter than me :)

My research interests include (but not limited to):

  • Machine Learning
  • Deep Neural Networks
  • Probabilistic Graphical Models
  • Computer Vision
  • Text Processing
  • Error-correcting codes

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