Publications
You can also find my articles on my Google Scholar profile.
Neuro-epidemiology
Ten years preceding a diagnosis of neurodegenerative disease in Europe and Australia: medication use, health conditions, and biomarkers associated with Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. . Dang Wei, Octave Guinebretière, …, Fang Fang, Thomas Nedelec. eBioMedecine, 2025
A comparison between early presentation of dementia with Lewy Bodies, Alzheimer’s disease and Parkinson’s disease: evidence from routine primary care and UK Biobank data. Thomas Nedelec, Baptiste Couvy-Duchesne, Aube Darves-Bornoz. Raphaël Couronne, Fleur Monnet , Laurène Gantzer, … & Jean-Christophe Corvol . Annals of Neurology, 2023
Association Between Diseases and Symptoms Diagnosed in Primary Care and the Subsequent Specific Risk of Multiple Sclerosis. Octave Guinebretiere, Thomas Nedelec, Laurène Gantzer, Beranger Lekens, Stanley Durrleman, Céline Louapre . Neurology, 2023
Identifying health conditions associated with Alzheimer’s disease up to 15 years before diagnosis: an agnostic study of French and British health records. Thomas Nedelec, Baptiste Couvy-Duchesne, Fleur Monnet, Timothy Daly, Manon Ansart, Laurène Gantzer, Béranger Lekens, Stéphane Epelbaum, Carole Dufouil, and Stanley Durrleman. The Lancet Digital Health, 4(3), pp.e169-e178, 2022
Comparison of Clinical Profiles and Mortality Outcomes Between Influenza and COVID-19 Patients Invasively Ventilated in the ICU: A Retrospective Study From All Paris Public Hospitals From 2016 to 2021. Clémence Marois, Thomas Nedelec, Juliette Pelle, Antoine Rozes, Stanley Durrleman, Carole Dufouil, and Alexandre Demoule. Critical Care Explorations 4, no. 7: e0737, 2022
The wide spectrum of COVID-19 neuropsychiatric complications within a multidisciplinary centre. Cécile Delorme, Marion Houot, Charlotte Rosso, Stéphanie Carvalho, Thomas Nedelec, Redwan Maatoug, Victor Pitron et al. Brain communications 3, no. 3 : fcab135, 2021
Changes in the use of psychotropic drugs during the course of Alzheimer’s disease: A large‐scale longitudinal study of French medical records Manon Ansart, Stéphane Epelbaum, Marion Houot, Thomas Nedelec, Béranger Lekens, Laurène Gantzer, Didier Dormont, Stanley Durrleman. Alzheimer’s & Dementia: Translational Research & Clinical Interventions 7, no. 1: e12210, 2021
Causality, counterfactual reasoning and regret minimization
Offline A/B testing for Recommender Systems. Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018 (Best Paper Award) Arxiv
A comparative study of counterfactual estimators. Thomas Nedelec, Nicolas Le Roux, Vianney Perchet. Workshop From ‘What If?’ To ‘What Next’, NIPS, 2017
Bridging the gap between regret minimization and best arm identification, with application to A/B tests. Rémy Degenne, Thomas Nedelec, Clement Calauzenes, Vianney Perchet . Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1988-1996, 2019
Statistics for economics and auction design
- Revenue-Maximizing Auctions: A Bidder’s Standpoint. Thomas Nedelec, Clément Calauzènes, Vianney Perchet, and Noureddine El Karoui. Operations Research, 2022 SSRN
- Learning in repeated auctions. Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui and Vianney Perchet. Foundations and Trends® in Machine Learning, 2022 Arxiv
- Adversarial learning for revenue-maximizing auctions. Thomas Nedelec, Clément Calauzènes, Vianney Perchet, and Noureddine El Karoui. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 2021
- Robust Stackelberg buyers in repeated auctions. Thomas Nedelec Clément Calauzènes, Vianney Perchet, and Noureddine El Karoui. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1342-1351, 2020
- Learning to bid in revenue-maximizing auctions. Thomas Nedelec, Noureddine El Karoui and Vianney Perchet. Proceedings of the 36th International Conference on Machine Learning, PMLR 97:4781-4789, 2019