Eric Moulines is affiliated with École Polytechnique in France. Their research spans the fields of Computer Science and Mathematics, with significant contributions across subfields including Artificial Intelligence, Statistics and Probability, Control and Systems Engineering, Management Science and Operations Research, and Computational Mechanics.
Their recent publications reflect a focus on stochastic processes, optimization, and machine learning methodologies. Notable papers include:
Their work addresses topics such as Markov Chains and Monte Carlo Methods, Stochastic Gradient Optimization Techniques, Statistical Methods and Inference, Gaussian Processes and Bayesian Inference, Sparse and Compressive Sensing Techniques, Advanced Bandit Algorithms Research, and Bayesian Methods and Mixture Models.
Frequent coauthors in their collaborations include:
Their research is published in venues such as:
Eric Moulines has also authored a book titled Foundations of Modern Statistics, published by Springer International Publishing in 2023.
E. Moulines;P. Duhamel;J.-F. Cardoso;S. Mayrargue
A. Belouchrani;K. Abed-Meraim;J.-F. Cardoso;E. Moulines
Olivier Capp;Eric Moulines;Tobias Ryden
Eric Moulines;Francis Charpentier
Y. Stylianou;O. Cappe;E. Moulines
O. Cappe;S.J. Godsill;E. Moulines
Bernard Delyon;Marc Lavielle;Eric Moulines
Eric Moulines;Francis R. Bach
Olivier Cappé;Eric Moulines
H. Valbret;E. Moulines;J. P. Tubach
Eric Moulines;Jean Laroche
Aurélien Garivier;Eric Moulines
Olivier Cappé;Eric Moulines;Tobias Ryden
Randal Douc;Eric Moulines
K. Abed-Meraim;P. Loubaton;E. Moulines
Marc Lavielle;Eric Moulines
Christophe Andrieu;Éric Moulines
K. Abed-Meraim;E. Moulines;P. Loubaton
Francis Bach;Eric Moulines
Randal Douc;Éric Moulines;Tobias Rydén
Randal Douc;Olivier Cappé;Eric Moulines
Francis Charpentier;Eric Moulines
Alain Durmus;Eric Moulines
Olivier Cappe;Eric Moulines;Tobias Ryden
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