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University of Science and Technology (KAUST)
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OMWU's convergence for saddle-point problems is confirmed without the need for strict initialization or uniqueness conditions, expanding its potential use cases in optimization.
Train your LLMs and ViTs faster: a nonparametric teaching method cuts training time by up to 21% *without* sacrificing accuracy.
