Big Data and Information Retrieval School

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Book chapter

Stochasticity in Algorithmic Statistics for Polynomial Time

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

All publications

Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University

On November 1st-3rd, 2022 the International Laboratory of Stochastic Algorithms and High-Dimensional Inference of the HSE Faculty of Computer Science and the Laboratory of Methods for Big Data Analysis with the support of HSE AI Centre and the Russian Science Foundation organized the first autumn school and conference on artificial intelligence ‘Fall into ML’. The new format of the event included a school for students and young researchers.

Research & Expertise professors students artificial intelligence

November 16, 2022

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Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University