Claire Lacour

4 papers · 2016–2022 · 1 venue · across top CS/AI venues

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Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🏆 Keyword Champion (2)

Venues

JMLR (4)

Top co-authors

Yohann De Castro (2) Vincent Rivoirard (2) Elisabeth Gassiat (1) Quentin Duchemin (1) Anna Bonnet (1) Franck Picard (1) Minh-Lien Jeanne Nguyen (1)

Research topics

Machine Learning (4) Mathematics & Optimization (4) Optimization & Theory (4) Optimization (3) Core Methods (2) Mathematics (2) Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Probability (1) Statistics (1)

Keywords

bandwidth selection (2) nonparametric estimation (2) minimax estimation (2) markov chain monte carlo (1) oracle inequality (1) spectral analysis (1) conditional density (1) spectral estimation (1) concentration inequality (1) hidden markov model (1) greedy algorithm (1) minimax lower bound (1) minimax rate (1) intensity estimation (1) sparsity structure (1) poisson point process (1) kernel estimator (1) kernel rule (1) penalized least square (1) spectral estimator (1)

Papers

Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 Three rates of convergence or separation via U-statistics in a dependent framework JMLR 2022 Uniform deconvolution for Poisson Point Processes JMLR 2022 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016