Optimization and Machine Learning (OML) is a rapidly developing field
spanning applied mathematics, computer science, and artificial intelligence. The field
focuses on designing efficient algorithms for optimization problems and leveraging
data-driven models for learning, prediction, and decision-making.
OML 2027 is the inaugural conference on theoretical and practical aspects
of optimization, machine learning, and artificial intelligence. The conference will feature
a tutorial programme, invited talks, contributed talks, and a poster session. In addition,
there will be a rump session with short informal presentations.
Plenary speakers:
Tutorial Programme:
Public Lecture:
Details will be announced soon.
News
- Conference programme and materials will be published soon.
- Photos and media will be available after the event.
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