Structural Inference in High-Dimensional Models 3
This is the third joint Russian-French conference organized by the HSE University (HDI Lab), Ecole Polytechnique (CMAP) and University of Bordeaux (Institut de Mathématiques de Bordeaux). It continues the series of annual joint meetings of researchers working on modern aspects of high-dimensional probability, statistics, machine learning, optimization etc. Key topics of this event are:
- Markov chain Monte-Carlo (MCMC)
- Variance reduction in machine learning algorithms
- New trends in optimization
- Mathematics of reinforcement and deep-learning
- Manifold learning
The scientific programme of the workshop consists of 4 mini-courses, 8 invited sessions (IS) and a poster session (posters will be selected by the Programme Committee).
The conference will be held at the Institut de Mathématiques de Bordeaux, University of Bordeaux
Registration (TB changed) of any person willing to participate is mandatory. We provide accomodation for invited speakers and junior researchers (BS, MS, PhD and young postdocs) selected by the organisation committee. Since the number of places we provide is limited, junior participants have to submit a short motivation letter and CV (in the registration form). We also provide travel grants for young people from Russia. The organisation committee will carefully review all the applications and will proceed with the strongest candidates based on their skills and motivation.