2021-06-23, Élise Dumas, PhD student at RT2Lab and CBIO, Institut Curie, France: Analysing the impact of co-medications on Breast Cancer survival using data from the French social security system
2021-05-05, Yifan Cui, postoctoral research, University of Pennsylvania, USA: Treatment regime or survival forest
2021-04-21, Yaniv Romano, Assistant professor at Technion, Israel Institute of Technology: Classification with Valid and Adaptive Coverage
2021-03-31, Arnaud Gloaguen, Multiblock and multiway data analysis
2021-03-17, Allan Jérolon, Assistant professor at University of Paris, France: Causal mediation analysis in presence of multiple mediators uncausally related
2021-03-10, Maxime He, Data Scientist at Owkin, France: Yet another causality conceptualisation?
2021-03-03, Jiaxuan You, PhD student at Stanford University, USA: Handling Missing Data with Graph Representation Learning
2021-02-17, Ludovic Arnould, PhD student at Sorbonne University, LPSM: Tree-layer structure of Deep Forests
2021-02-03, Suzie Cro, Research Fellow at Imperial Clinical Trials Unit, UK: Controlled multiple imputation: an accessible flexible tool for sensitivity analysis of clinical trials with different types of missing data
2021-01-27, Margaux Brégère, Researcher at EDF R&D, Saclay: Stochastic Bandit Algorithms for Demand Side Management
2020-12-09, Nicole Erler, Postdoctoral researcher at Erasmus Medical Center, Rotterdam: Joint Analysis and Imputation of Incomplete Data in R: A Fully Bayesian Approach for Handling Missing Values in Complex Settings
2020-11-25, Carlos Cinelli, PhD student at University of California, USA: Generalizing Experimental Results by Leveraging Knowledge of Mechanisms
2020-11-18, Constantin Philipenko, PhD student at CMAP, École Polytechnique: Artemis: tight convergence guarantees for bidirectional compression in Federated Learning
2020-10-21, Yen-Chi Chen, Assistant Professor at University of Washington, USA: Pattern graphs: a graphical approach to nonmonotone missing data
2020-10-14, Bénédicte Colnet, PhD student at Parietal, Inria: Causal inference methods for combining randomizedtrials and observational studies: a review
2020-10_07, Qiming Du, Postdoctoral researcher at LPSM, Sorbonne Université: Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
2020-10-01, Nathan Kallus, Assistant Professor at Cornell University and Cornell Tech, USA: Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
2020-09-24, Issa Dahabreh, Associate Professor at Brown University, USA: Randomized trials and their observational emulations: a framework for benchmarking and joint analysis
2020-09-02, Quentin Bertrand, PhD student at Parietal, Inria: Implicit differentiation of Lasso-type models for hyperparameter optimization
2020-08-07, Alexandre Pérez, Master student at McGill University, Canada: Benchmark of methods to handle missing values in predictive models
2020-05-20, Razieh Nabi, Graduate Research Assistant at Johns Hopkins University, USA: Full Law Identification In Graphical Models Of Missing Data: Completeness Results
2020-05-14, Juha Karvanen, Professor of Statistics at University of Jyväskylä, Finland: Causal inference with multiple incomplete data sources
2020-02-04, Mathurin Massias, PhD student at Parietal, Inria: Optimizational and statistical contributions to the L21 -regularized M/EEG inverse problem
2019-12-03, Marine Le Morvan and Nicolas Prost, Postdoctoral reasarcher and PhD student, Parietal, Inria: Linear predictor on linearly-generated data with missing values: non consistency and solutions
2019-11-12, Consuelo Martínez Fontaine, PhD student at University Paris Saclay: A statistical Tephrochronology study of the Southern and Austral Volcanic Zones of the Andes.
2019-11-04, Bénédicte Colnet, Master student at University Pierre and Marie Curie: Bioinformatic screening of gut microbiome metabolic capacities
2019-10-16, Lucas Martin, PhD student, CMAP, Ecole Polytechnique: Causal inference and treatment estimation : An application to the UKBioBank dataset
2019-10-02, Arthur Mensch, Postdoctoral research at École Normale Supérieure, Paris Geometric losses for distributional learning
2019-09-16, Ramiro Camino, PhD at University of Luxembourg, Luxembourg: An overview of Tabular Data Imputation with Deep Generative Models
2019-09-03, Anqui Fu, PhD student at Stanford University, USA: Anderson Accelerated Douglas-Rachford Splitting
2019-05-22, Wei Jiang, PhD student at CMAP, Ecole Polytechnique: High-dimensional regression with noisy and missing data
2019-04-30, Imke Mayer, PhD student at EHESS, Paris: Doubly robust treatment effect estimation with incomplete confounders
2019-04-24, Teresa Alves De Sousa, Master student at CMAP, Ecole Polytechnique: Matching techniques in causal inference
2019-04-03, Pierre-Alexandre Mattei, Research scientist at Inria, Sophia Antipolis: Deep latent variable models: estimation and missing data imputation
2019-03-28, Quentin Paris, Assistant Professor, HSE University, Moscow, Russia: Estimation de barycentres dans les espaces métriques et applications
2019-03-06, Nicolas Prost, PhD student at CMAP, Ecole Polytechnique: On the consistency of supervised learning with missing values
2018-11-26, Imke Mayer, PhD student at EHESS, Paris: A Review on Causal Inference with Focus on Average Treatment Effect Estimation
2018-11-13, Wei Jiang, PhD student at CMAP, Ecole Polytechnique: Model selection with missing values -- using Adaptive Bayesian SLOPE
2018-10-05, Aude Sportisse, PhD student at LPSM, Sorbonne Université: Low rank estimation with MNAR data
2018-09-17, Antoine Ogier, Master student at CMAP, Ecole Polytechnique: Cross-validation and imputation : handling missing data for hemorrhagic shock prediction
2018-09-12, Timothée Tabouy, PhD student at AgroParisTech: Variational inference for Stochastic Block Models from sampled data
2018-08-28, Fabien Laporte, Postdoctoral researcher at MODAL, Inria: Dealing with missing data in model-based clustering through a MNAR model
2018-07-19, Avarinth Chembu, Master student at CMAP, Ecole Polytechnique: Summary on fast SVD techniques and parallel computing
2018-06-29, Madeleine Udell, Assistant Professor at Cornell University, USA: Big data is low rank
2018-06-21, Félix Balazard, PhD data scientist at Owkin, LPSM and Inserm: Causality for personalized medicine
2018-06-12, Aude Sportisse, PhD student at LPSM, Sorbonne Université: Some methods for handling data generated by MNAR mechanisms
2018-06-05, Burim Ramosaj, PhD student at the Institute of Statistics, University of Ulm, Germany: Statistical inference using machine learning algorithms: the random forest model
2018-05-22, Hoi To Wai, Postdoctoral researcher, Arizona State University (ASU), USA: Using second-order information to accelerate incremental gradient methods
2018-05-07, Nicolas Prost, PhD student at CMAP, Ecole Polytechnique: Decision trees with missing values
2018-05-02, Pascaline Descloux, PhD student at University of Geneva, Swiss: Model selection with Lasso-Zero
2018-04-23, Wei Jiang: Stochastic approximation EM for logistic regression with missing values