Markov Chains, authors: Douc, R., Moulines, E., Priouret, P., Soulier, P.
The HSE Faculty of Computer Science has launched the International Laboratory of Stochastic Algorithms and High-Dimensional Inference (HDI Lab). The Lab’s Academic Supervisor,Eric Moulines, and Chief Research Fellow, Vladimir Spokoiny, spoke to us about the fundamental and applied aspects of research performed by the laboratory, their relations with machine learning, and Russian-French academic ties.
HDI Lab staff attend International Vilnius Conference on Probability Theory and Mathematical Statistics 2018
12th International Vilnius Conference on Probability Theory and Mathematical Statistics and 2018 IMS Annual Meeting on Probability and Statistics took place in Vilnius (Lithuania) on July 2-6. This is one of the world's leading conferences in the field of modern probability theory and mathematical statistics, which is held every four years since 1973. This year over 200 works were presented at the event and 500 participants from all over the globe attended it.
HSE Lends Its Support to the Very First Conference in ‘New Frontiers in High-Dimensional Probability and Statistics’
On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.
Academic Supervisor of Laboratory Eric Moulines gave a talk «Perturbed Proximal Gradient Algorithms»
On February 22 at the Faculty of Computer Science Colloquium Academic Supervisor of Laboratory Eric Moulines gave a talk «Perturbed Proximal Gradient Algorithms».