The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sébastien Bubeck sits on this spectrum.
This scientist: 120 publications — 15th percentile
15% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sébastien Bubeck sits on this spectrum.
This scientist: 52 D-Index — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Sébastien Bubeck is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their research encompasses a range of topics that include optimization and search problems, advanced bandit algorithms, complexity and algorithms in graphs, machine learning and algorithms, stochastic gradient optimization techniques, topic modeling, and adversarial robustness in machine learning.
Their recent papers demonstrate an active engagement with developments in artificial general intelligence and medical applications of AI. Among notable works are "Sparks of Artificial General Intelligence: Early experiments with GPT-4" published in 2023 in arXiv (Cornell University), "Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine" from the same year appearing in the New England Journal of Medicine, "Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone" published in 2024 in arXiv (Cornell University), "Textbooks Are All You Need" from 2023 in arXiv (Cornell University), and "Textbooks Are All You Need II: phi-1.5 technical report" also in 2023 in arXiv (Cornell University).
Bubeck's frequent coauthors include Mark Sellke, Ronen Eldan, Yuval Rabani, Suriya Gunasekar, and Christian Coester.
The main venues for their publications are arXiv (Cornell University), SIAM Journal on Computing, New England Journal of Medicine, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and the Journal of the ACM.
Their primary field of study is Computer Science.
Within computer science, subfields addressed include Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.
The scientist explores topics such as optimization and search problems, advanced bandit algorithms research, complexity and algorithms in graphs, machine learning and algorithms, stochastic gradient optimization techniques, topic modeling, and adversarial robustness in machine learning.
In 2015, Sébastien Bubeck was named a Fellow of the Alfred P. Sloan Foundation.
Sébastien Bubeck;Nicolò Cesa-Bianchi
Sébastien Bubeck
Jean-Yves Audibert;Sébastien Bubeck
Sébastien Bubeck;Rémi Munos;Gilles Stoltz;Csaba Szepesvári
Sébastien Bubeck;Rémi Munos;Gilles Stoltz
Chi Jin;Zeyuan Allen-Zhu;Sebastien Bubeck;Michael I. Jordan
Jean-Yves Audibert;Sébastien Bubeck
Kevin G. Jamieson;Matthew Malloy;Robert D. Nowak;Sébastien Bubeck
Sébastien Bubeck;Rémi Munos;Gilles Stoltz
Sebastien Bubeck;Nicolo Cesa-Bianchi;Gabor Lugosi
Kevin Seaman;Francis Bach;Sébastien Bubeck;Yin Tat Lee
Jean-Yves Audibert;Sébastien Bubeck;Gábor Lugosi
Jean-Yves Audibert;Sébastien Bubeck
Hadi Salman;Jerry Li;Ilya P. Razenshteyn;Pengchuan Zhang
Sébastien Bubeck;Rémi Munos;Gilles Stoltz;Csaba Szepesvari
Sébastien Bubeck;Aleksandrs Slivkins
Sébastien Bubeck
Sébastien Bubeck;Gilles Stoltz;Csaba Szepesvári;Rémi Munos
Sébastien Bubeck;Eric Price;Ilya P. Razenshteyn
Sébastien Bubeck;Yin Tat Lee;Mohit Singh
Kevin Scaman;Francis Bach;Sébastien Bubeck;Yin Tat Lee
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 49
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