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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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0111 · Sep 202319922001200920172026
1 result for “signal-finding”
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problemcs.LG

SGD efficiently learns the XOR function with near-optimal sample complexity.

problem Learning the XOR function with a 2-layer neural network.
method Minibatch SGD on a 2-layer neural network with ReLU activations, focusing on signal-finding and signal-heavy phases.
result Achieves population error o(1)o(1) with d extpolylog(d)d \: ext{polylog}(d) samples.
SGD2-layer neural networkXOR problemsignal-findingsignal-heavy
2023-09-26abs ↗pdf ↗