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Bookmark or Share- Sébastien Bubeck – PublicationsS. Bubeck, R. Eldan and Y. T. Lee, Kernel-based methods for bandit convex optimization. In JACM, 2021. [ arxiv] K. Scaman, F. Bach, S. Bubeck, Y. T. Lee, L. Massoulié, Optimal Convergence Rates for Convex Distributed Optimization in Networks. In Journal of Machine Learning Research, 2019.
- Sebastien Bubeck - Google ScholarSebastien Bubeck. VP GenAI Research, Microsoft AI. Verified email at microsoft.com - Homepage. machine learning theoretical computer science convex optimization multi-armed bandits online. Title. Sort. Sort by citations Sort by year Sort by title. Cited by.
- AI Frontiers: The Physics of AI with Sébastien BubeckAI Frontiers: The Physics of AI with Sébastien Bubeck. 00:00. |. Transcript. Powerful new large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligence—and a signal of accelerating progress to come.
- Sébastien Bubeck – BiographySébastien Bubeck – Biography. 2020 – present: Sr. Principal Research Manager, Microsoft Research, Machine Learning Foundations group (Redmond, WA, USA). 2017 – 2019: Senior Researcher, Microsoft Research, Theory Group and Machine Learning and Optimization group (Redmond, WA, USA). 2014 – 2016: Researcher, Microsoft Research, Theory ...
- Sébastien BubeckSébastien Bubeck. Sr. Principal Research Manager. Machine Learning Foundations, Microsoft Research, Redmond. Contact. Building 99, 3920. Redmond, WA 98052. sebubeck AT microsoft DOT com. I am a Sr. Principal Research Manager in the Machine Learning Foundations group at Microsoft Research (MSR).
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