PhD thesis in Computer Science was defended
On awarding a degree of Doctor of Philosophy in Computer Science
The third Summer School on Deep Learning and Bayesian Methods was held in Moscow
В Москве вновь прошла Летняя школа по байесовским методам в глубинном обучении, собравшая участников из 27 стран.
Our colleagues Alexander Shekhovtsov representing Czech Technical University in Prague and Belhal Karimi representing Ecole Polytechnique & INRIA gave talks on actual problems of machine learning
24 of July Alexander Shekhovtsov (Czech Technical University in Prague), invited by the Centre of Deep Learning and Bayesian Methods, and Belhal Karimi (Ecole Polytechnique & INRIA), a summer intern of the Centre, made presentations at the Faculty of Computer Science
The faculty members will present their research on ICLR and AISTATS conferences
One paper will be presented at AISTATS (Japan, April 2019) and three papers will be presented at ICLR (USA, May 2019).
The faculty presented the results of their research at the largest international machine learning conference NeurIPS
Researchers of the Faculty of Computer Science presented their papers at the annual conference of Neural Information Processing Systems (NeurIPS), which was held from 2 to 8 December 2018 in Montreal, Canada.
DeepBayes 2018: More Bayesian Methods in Deep Learning
The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.
Dmitry Vetrov Took Part in the Samsung AI Forum
At October 19-20, head of the Deep Learning and Bayesian Methods laboratory Dmitry Vetrov took part in the forum on artificial intelligence at the headquarters of the corporation Samsung.
HSE and Yandex launched a new English specialization on Coursera: Advanced Machine Learning
In this specialization the listeners will complete the courses on deep learning, Bayesian methods, reinforcement learning, natural language processing etc. Alexander Novikov, research fellow of the laboratory, is a lecturer of Bayesian Methods course.
Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning
On September 12 and 13, a mini-workshop "Stochastic processes and probabilistic models in machine learning" was held at the faculty. Four invited foreign specialists gave lectures about the application of parametric and nonparametric probabilistic methods in machine learning, and representatives of Russian scientific groups told about particular projects where these approaches are used.
Bayesian Methods in Deep Learning Summer School in Moscow
Bayesian Methods in Deep Learning Summer School was held in Moscow fron 26 to 30 August. During these five days 96 participants from 8 countries listened to lectures about Bayesian methods in deep learning and trained neural networks.