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to algorithms with actionable performance guarantees. More specifically, the research will revolve around the following theme: High probability convergence in stochastic optimization under heavy-tailed noise
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their analytical work with numerical simulations coded e.g. in Python, and present their work in written notes and manuscripts, as well as give presentations to the project team and external stakeholders
Searches related to numerical optimization
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