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Ilya Tolstikhin

Ilya Tolstikhin
Picture by Bob Williamson, Dagstuhl, 2016

Feel free to contact me:  iliya[dot]tolstikhin[at]gmail[dot]com

Currently I am a research scientist at Google Brain group in Zurich.

Between 2014 and 2018 I worked as a postdoc at the Empirical Inference Department of Max Planck Institute for Intelligent Systems, Tübingen, Germany.
I received a diploma (MSc equivalent) in 2010 from Lomonosov Moscow State University and PhD in 2014 from Dorodnicyn
Computing Center of Russian Academy of Sciences
where I worked with Konstantin Vorontsov on statistical learning theory.

Currently my research is focused on unsupervised (deep) generative models and representation learning. I would like to hopefully solve these tasks to a certain
degree in an understandable way, that is using approaches which are well motivated and easily adjustable to various scenarios.

In past I worked a lot on statistical learning theory and theory of machine learning in general. Particularly, I was interested in tight data-dependent generalization
error and excess risk bounds in machine learning, which could shed some light on the process of learning, potentially leading to new and more accurate learning
algorithms. Also I was interested in tools, used to achieve these goals (which are extremely interesting and rich fields of research on their own), including concentration
of measure inequalities and empirical process theory. I am still interested in these topics.


Publications

Preprints 

Conference papers (chronologically ordered)

Journal papers  (chronologically ordered)

Others 

PhD Thesis


Talks

Talks in English

Talks in Russian


Activities

Journals review: Conferences review: PC Member:

Teaching

Instructor for the course “Machine Learning Theory”

(together with Ruth Urner)

Eberhard Karls Universität Tübingen

2016 - 2017

Teaching Assistant for the course “Machine Learning”

Skolkovo Institute of Science and Technology

2013 - 2013

Tutorials for the course “Machine Learning”

Lomonosov Moscow State University

2012 - 2013

Tutorials for the course “Machine Learning”

Moscow Institute of Physics and Technology

2011 - 2012


Things I'm doing outside of office

Workouts and health tracking: I workout regularly and collect all kind of data I can get about my body and health. In future I hope to run some algorithms on this data to see
if I can build a reasonable model of fitness / health. All the info is available in this text file (except hurt rate listings), which is regularly updated. Feel free to use it ;)