Alain Durmus
About
Alain Durmus has authored 30 papers that have received a total of 441 indexed citations.
This includes 25 papers in Statistics and Probability, 11 papers in Computational Mechanics and 9 papers in Artificial Intelligence. The topics of these papers are Markov Chains and Monte Carlo Methods (21 papers), Statistical Methods and Inference (13 papers) and Sparse and Compressive Sensing Techniques (9 papers). Alain Durmus is often cited by papers focused on Markov Chains and Monte Carlo Methods (21 papers), Statistical Methods and Inference (13 papers) and Sparse and Compressive Sensing Techniques (9 papers) and collaborates with scholars based in France, United Kingdom and Germany. Alain Durmus's co-authors include Éric Moulines, Marcelo Pereyra, Valentin De Bortoli, Arnaud Guillin and Umut Şimşekli and has published in prestigious journals such as The Annals of Statistics, SIAM Review and Journal of Machine Learning Research
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