Talks and presentations

SMP: Sample Minmax Predictor

November 07, 2019 Orsay, France

Séminaire de Probabilités et Statistiques, Univ. d'Orsay

Slides See the slides here

Binarsity: a penalization for one-hot encoded features in supervised learning

June 11, 2019 Paris, France

BNP Paribas, DAMI Chair (Data Analytics and Models for Insurance)

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Anytime online forests: optimal rates and algorithmic aspects

December 16, 2018 Pisa, Italy

CMS Statistics

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A partnership about big data in health: the partnership between CNAM and Ecole polytechnique

November 20, 2018 Marseille, France

Aix-Marseille School of Economics

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Anytime online forests: optimal rates and algorithmic aspects

June 14, 2018 Quimper, France

Séminaire du LMBA

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Machine learning et big data en santé: le partenariat X / CNAM

April 05, 2018 Paris, France

Data Drink - Etalab, Liberté Living-Lab

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Utilisation de techniques big data sur le SNIIRAM : le partenariat X / CNAM

January 30, 2018 Paris, France

Journées de la recherche clinique, Association Française des CRO, Méridien Etoile

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Statistical Learning with Hawkes Processes

November 29, 2017 Paris, France

5th NUS-USPC Workshop on Machine Learning and FinTech, LPSM, Univ. Paris Diderot

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High-dimensional robust regression and outliers detection with SLOPE

September 22, 2017 Paris, France

Rentrée du LPMA, LPMA, Univ. Pierre et Marie Curie

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Time-oriented statistical machine learning, with applications to electronic health-care, social networks and finance

August 17, 2017 Washington DC, USA

National Institute of Science and Technology

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Utilisation de techniques big data sur le SNIIRAM : le partenariat X / CNAMTS

June 27, 2017 Rennes, France

Le SNIIRAM pour la recherche en santé

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Big Data en santé avec le Caisse Nationale d’Assurance Maladie

June 23, 2017 Marseille, France

GdR MaDICS, atelier données massives et santé numérique

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Optimization for Data Science

June 20, 2017 Paris, France

AMIES, Institut Louis Bachelier

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Statistical learning with Hawkes processes

March 28, 2017 Paris, France

LPSM, Univ. Paris Diderot

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Statistical learning with Hawkes processes and new matrix concentration inequalities

November 11, 2016 Toronto, Canada

Fiels Institute, Conference *New challenges for big data in economics and finance conference*

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Methods for covariance and inverse covariance estimation in high dimension

June 06, 2016 Barcelonnette, France

Mini-course at the ETICS summer school

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Statistical Learning with Hawkes Processes and new Matrix Concentration Inequalities

May 31, 2016 Montpellier, France

48èmes Journées de Statistique de la SFdS

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Introduction to machine learning, application to Hawkes processes

March 21, 2016 Paris, France

House of Finance Days, Univ. Paris Dauphine

Slides See the slides here