polynomial
a9df2255ad642b923d95503b9a7958d8-Supplemental.pdf
All models discussed in the paper use ReLU non-linearity.
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Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
The other is GRL-SVO(NUP), a fast heuristic providing a total order directly.
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Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
They do not study how the population loss decreases during the first stage.
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GloptiNets: Scalable Non-Convex Optimization with Certificates
Non-convex optimization is a difficult and crucial task.
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Structure of universal formulas
We introduce a hierarchy of expressiveness classes connecting the global approximability property to the weaker property of infinite VC dimension, and prove a series of classification results for several increasingly complex functional families.
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Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
We introduce the Blackwell discount factor for Markov Decision Processes (MDPs). Classical objectives for MDPs include discounted, average, and Blackwell opti-mality.
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