Fully polynomial algorithm learns positive linear combinations of ReLUs
The method uses poly(d, k, 1/ε) samples and time under Gaussian inputs and L2 loss, without well-conditioned weight assumptions.
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Self-Evolving Agent Harness
Paper formalizes persistent self-evolution of agent harnesses with fixed weights and validation bounds.