2021, Autumn (LSE):
2021, Spring (École Polytechnique):
- Independence Measures and Testing [slides; March 24, 2021]
2019, Summer (INRIA):
- Kernel Methods, Divergence and Independence Measures, Hypothesis Testing [July 15-17, 2019]
2019, Spring (HEC Paris):
2019, Spring (École Polytechnique & Télécom ParisTech):
2018, Fall (École Polytechnique):
- Statistics (MAP 531; Master of Data Science X-HEC):
- Introduction to Machine Learning (MAP534; Master of Data Science X-HEC):
2018, Summer (INRIA):
- Kernel Methods, Divergence and Independence Measures, Hypothesis Testing [July 18 & 20, 2018]
2018, Spring (École Polytechnique & Télécom ParisTech):
2017, Fall (Carnegie Mellon University):
-
Kernel-based Dependency Measures and Hypothesis Testing [Nov. 27, 2017]:
2017, Summer (INRIA):
- Manifold Learning and Classification for EEG Analysis [July 27, 2017].
2017, Spring (Télécom ParisTech):
2016, Fall (École Polytechnique):
2015 & 2016, Spring (University College London):