• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Talks and lectures by guests and members of HDI Lab (in English)


    Follow HDI Lab seminar announcements in Telegram!

      • Talk by Alexey Naumov (HSE University), Posterior sampling and Bayesian bootstrap: sample complexity and regret bounds (1), Autumn School on Machine Learning (Fall into ML 2022) , 01-03 ноября 2022 г.                                                                                                                                                                                                               
      • Talk by Daniil Tiapkin (HSE University), Posterior sampling and Bayesian bootstrap: sample complexity and regret bounds (2), Autumn School on Machine Learning (Fall into ML 2022) , 01-03 ноября 2022 г.                                                                                                                                                                                                              
      • Talk by Sergey Samsonov (HSE University), Local-Global MCMC kernels: the best of both worlds, Autumn School on Machine Learning (Fall into ML 2022) , 01-03 ноября 2022 г.                                                                                                                                                                                                                                                                                           
      • Talk by Dmitrii Ostrovskii (University of Southern California), Near-Optimal Model Discrimination with Non-Disclosure, June 22, 2021
      • Talk "MCMC, Langevin diffusion, and control variates for MCMC" by Eric Moulines (École Polytechnique, HSE University, ENS Paris-Saclay) at the Conference "Theory of Probability and its Applications: P.L. Chebyshev - 200", May 20, 2021
      • Talk by Quentin Paris (HSE University), Online learning with exponential weights in metric spaces, April 20, 2021
      • Talk by Dmytro Perekrestenko (ETH Zurich), Constructive Universal High-Dimensional Distribution Generation through Deep ReLU, March 30, 2021
      • Talk by Maxim Panov (Skoltech), Stochastic normalizing flows, March 23, 2021
      • Talk by Nikita Puchkin (HSE University, IITP), Rates of convergence for density estimation with GANs, February 9, 2021
    • Talk by Michel Ledoux (Université de Toulouse, France) "On Optimal Matching of Random Samples", September 17, 2019.

    •  Mini-course by Eric Moulines (Ecole Polytechnique (Paris), HSE University) “Introduction to reinforcement learning”, April 16 and 23, 2019.
      Lecture №1:

      Lecture №2:

       

    •  Mini-course by Sergey Bobkov (University of Minnesota, HSE University) “Strong probability distances and limit theorems”, May 17 and 24, 2018.
      Lecture №1:


      Lecture №2:
    •  Talk by Eric Moulines (Ecole Polytechnique (Paris), HSE University) Perturbed Proximal Gradient Algorithms at the Faculty of Computer Science , February 22, 2018.

     

    Have you spotted a typo?
    Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
    To be used only for spelling or punctuation mistakes.