Abstract: This paper addresses the challenge of reliably selecting high-performing solutions in simulation optimization when model parameters are uncertain. We infer the set of solutions whose ...
Experimental particle physics is the practical investigation of the fundamental components of matter and radiation. A crucial tool in the arsenal of the experimental particle physicist is the particle ...
Abstract: Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network architectures ...
Software today is optimized for speed, cost, and user experience, but rarely for environmental sustainability. Every line of code consumes electricity when executed, which indirectly leads to CO₂ ...
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