#### Invited talks

###### 2023

| | Data to Actionable Knowledge Lab, Harvard University | |

| | Université Grenoble Alpes & INRIA & CNRS | |

| | ||

| | University of Stuttgart | |

| | TU Munich | |

| | ||

| | TU Wien | |

| | University of Vienna | |

| | TU Delft | |

| | University of Amsterdam | |

| | Università della Svizzera italiana | |

| | University of Tübingen | |

| | University of Bern | |

| | University of Freiburg, Machine Learning Lab | |

| | ||

| | University of Cambridge, CBL Lab, Cambridge Ellis Unit Seminar Series | |

| | Imperial College London | |

| | University College London, Statistical Machine Learning Group |

###### 2022

###### 2021

###### 2020

| | Gaussian Random Fields in Machine Learning | |

| | Huawei Russian Wireless Workshop 2020 | |

| | Gaussian Processes in Machine Learning [In Russian] Chebyshev Laboratory Student Colloquium |

#### Educational Lectures

###### 2021

###### 2020

| | Laplacian Eigenmaps Algorithm for Dimensionality Reduction [In Russian] | |

| | Basic Methods of Dimensionality Reduction: PCA and Kernel PCA [In Russian] |