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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.

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0111 · Aug 201819922001200920172026
4 results for curvature-independent

New method optimizes on curved manifolds without curvature dependence.

problem Curvature-dependent regret in online optimization on Hadamard manifolds.
method Riemannian online gradient descent for h-convex functions.
result Established O(T)O(\sqrt{T}) and O(log(T))O(\log(T)) regret guarantees, curvature-independent.

New method for optimization on Hadamard manifolds with curvature-independent guarantees.

problem Curvature-dependent complexity in geodesic convex optimization.
method Introducing horospherical convexity and developing algorithms for optimization.
result Curvature-independent convergence of subgradient descent and Nesterov's method.

Given a compact Riemannian manifold (M n , g) with boundary \partialM , we give an estimate for the quotient \partialM f dμμ g M f dμμ g , where f is a smooth positive function defined on M that satisfies some inequality involving the scalar Laplacian. By the mean value lemma established in [37], we provide a dif…

2019-08-07abs ↗pdf ↗