Many contemporary ML algorithms are still comparably badly understood conceptually. As a result, they require manual tuning, can be inflexible and behave erratically.
The program connects experts with diverse backgrounds to advance the algorithmic foundations of ML. It will support the development of efficient and reliable learning systems with theoretical guarantees.
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