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Continuous state optimization can slash movement costs by over 300% while maintaining performance in complex learning systems.
Randomness is not just a convenience in Adaptive Data Analysis; it鈥檚 a necessity, especially when analysts are unbounded, limiting deterministic mechanisms to just \( \tilde{O}(n) \) queries.