DAO team of LJK focuses on mathematical optimization and its interactions with machine learning, statistics, and signal processing. Our research topics include various aspects of optimization (stochastic, under uncertainty, online, distributed…). Our work is at the intersection between theory, algorithms, and applications. Our team hosts two MIAI chairs and has a track-record of industrial collaborations. The team also hosts the subgroup on deep learning for biology, called GruLab.
Publications
Team's publications (from HAL)
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