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1 result for log-Polyak-Lojasiewicz

Study of non-convex potential functions in deep learning with Poincaré inequality.

problem Understanding convergence of stochastic dynamics in non-convex potential landscapes.
method Introduced log-Polyak-Lojasiewicz (log-PL) measures and analyzed their convergence properties.
result Langevin dynamics converges at a rate of O~(1/ε)\tilde{\mathcal{O}}(1/ε) for sufficiently small εε.