Question 1

What does Aurélien Bibaut research?

Accepted Answer

Aurélien Bibaut publishes mostly in Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, on topics such as Statistical Methods and Inference, Advanced Causal Inference Techniques and Advanced Bandit Algorithms Research.

Question 2

Which keywords describe Aurélien Bibaut's research?

Accepted Answer

The keywords of their largest research topics: Bayesian Methods, Deep Learning, Regularization, Variable Selection, Causal Inference, Propensity Score, Bandit Optimization and Bayesian Optimization.

Question 3

Where does Aurélien Bibaut work?

Accepted Answer

Aurélien Bibaut's main affiliation in the publication record is Netflix (United States), United States.

Question 4

How many publications and citations does Aurélien Bibaut have?

Accepted Answer

OpenAlex counts 47 works and 553 citations for Aurélien Bibaut, an h-index of 8, ranking #3,029,254 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Aurélien Bibaut's h-index high?

Accepted Answer

An h-index of 8 is at or above that of 41% of the 14,819 ranked researchers whose main subfield is Statistics and Probability, which is in the top 66%.