main webpage W Topic Algorithm arXiv (Cornell University) Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? 2019 The design of neural network architectures is frequently either based on human expertise using trial/error and empirical feedback or tackled via large scale reinforcement learning strategies performed over distinct discrete architecture choices. In the latter… Article Open Algorithm Open Article Page

Algorithm

Sequence of operations for a task In mathematics and computer science, an algorithm ( ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a heuristic is an approach to solving problems without well- defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. Critical Symbolic Virtual Narrative Open Algorithm Open Article Page

Exploring foci of: arXiv (Cornell University) Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? 2019 The design of neural network architectures is frequently either based on human expertise using trial/error and empirical feedback or tackled via large scale reinforcement learning strategies performed over distinct discrete architecture choices. In the latter case, the optimization is often non-differentiable and also not very amenable to derivative-free optimization methods. Most methods in use today require sizable computational resources. And if we want networks that additionally satisfy resource constraints, t… Open Article Page

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Explore Algorithm W Topic Algorithm arXiv (Cornell University) Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? 2019 The design of neural network architectures is frequently either based on human expertise using trial/error and empirical feedback or tackled via large scale reinforcement learning strategies performed over distinct discrete architecture choices. In the latter… Article Critical Symbolic Virtual Narrative Open Algorithm Open Article Page