Talks
| Year | Title | Event | Slides/Video |
|---|---|---|---|
| 2019 | Decisions trees with missing values, selection and prediction | SFDS | |
| 2019 | On the consistency of supervised learning with missing values | Cornell, Statlearn, Google Brain | |
| 2019 | High dimensional variable selection with missing values with adaptive slope | DagStat, Munich | |
| 2019 | Low-rank estimation and imputation with MNAR data | DagStat, Munich | |
| 2019 | Causal inference with missing values | Lyon | |
| 2018 | Distributed multilevel matrix completion for medical data | France-Finland Worshop, Washington University Seminar | |
| 2018 | Stochastic Approximation EM for logistic regression with missing values | CMStat, London, 17 December | |
| 2017 | Single Imputation with data depth | CMStat, London, 17 December | |
| 2017 | R forwards to widen the participation of under-represented groups | useR!2017, 7 July | video |
| 2017 | Empirical Bayes approaches to PageRank type algorithms for rating scienti fic journals | French Stat Society, 29 May | |
| 2017 | Low-rank log-linear models. | Vienna, University of economics and business, 16 March Telecom, Paris, 23 March. | |
| 2016 | Meetup Machine Learning, Paris, France, 10 February | ||
| 2016 | Imputation with data depth - Pavlo Mozharovskyi | French Stat Society, Montpellier, France, May | |
| 2016 | MultiLogit bilinear model & MCA | Working group on model based clustering, Paris, France, 22 July AgroPariTech, Paris, France, 13 June | |
| 2015 | Missing values and principal components methods | INRIA, Orsay, France, 12 October Tesla Motor, Palo Alto, USA, 14 August | |
| 2015 | Multiple imputation for categorical data | Conference CARME (correspondence analysis & related methods), Napoli, Italy, 21 September Journée de Statistiques, Rennes, France, 23 october | |
| 2015 | 2015 A flexible framework for regularized low rank matrix estimation | Los Alamos, USA, 15 February Rotterdam University , Netherlands, 30 January Adobe Research , San Jose, USA, 20 January | |
| 2015 | Visualization with regularized PCA | Stanford Biostatistics, Palo Alto, USA, 15 January | |
| 2014 | A flexible framework for regularized low rank matrix estimation | Montpellier 2 University, France, 20 October Paris Descartes University, France, 24 October Wroclaw University, Poland, 31 October |