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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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217434650867 · Jun 202019922001200920172026
48 results for curvature optimization

Optimizes transport on submanifolds for curvature inequalities.

problem Proving Michael-Simon-Sobolev inequalities in manifolds with intermediate Ricci curvature bounds.
method Generalizes optimal transport theory to submanifolds and applies to curvature inequalities.
result Proves a variant of the Michael-Simon-Sobolev inequality in manifolds with nonnegative intermediate Ricci curvatures.

New method efficiently learns positive-definite curvature for neural nets.

problem Efficiently learn positive-definite curvature for neural net training.
method Spectral-factorized positive-definite curvature learning approach.
result Efficiently applies arbitrary matrix roots and generic curvature learning.

Proves optimal volume growth for certain nonnegative Ricci curvature manifolds.

problem Volume growth of manifolds with nonnegative Ricci curvature and positive bi-Ricci curvature.
method Analyzes bi-Ricci curvature and uses Gromov's volume bound conjecture analogy.
result Proves optimal volume growth for manifolds with specific curvature conditions.

Lower bounds for geodesically convex optimization show curvature negatively impacts complexity.

problem Understanding the impact of curvature on the query complexity of geodesically convex optimization.
method Building on recent lower bounds, the study proposes and proves new lower bounds for various settings of geodesically convex optimization.
result Negative curvature is detrimental to the complexity of geodesically convex optimization.

Gradient-based optimization methods are the most popular choice for finding local optima for classical minimization and saddle point problems. Here, we highlight a systemic issue of gradient dynamics that arise for saddle point problems, namely the presence of undesired stable stationary points that are no local optima…

2018-05-15abs ↗pdf ↗

Optimizes sharp curvature inequality on spheres, proving near-minimizers are close to standard metric.

problem Optimizing total σ2σ_2-curvature on spheres with positive scalar curvature.
method Analyzes metrics conformal to the standard sphere, uses Sobolev norms to measure closeness.
result Near-minimizers of total σ2σ_2-curvature are almost the standard metric (up to Möbius transformations).

Study optimal partition problem for Q-curvature equations on Einstein manifolds.

problem Optimal partition problem for prescribed Q-curvature equation.
method Cohomogeneity one actions, higher order conformal operators, weakly coupled elliptic systems.
result Existence and multiplicity of least energy symmetric and sign-changing solutions.

Study shows how to preserve Lagrangian condition in mean curvature flow on Kim-McCann metrics.

problem Preserving Lagrangian condition in mean curvature flow on Kim-McCann metrics.
method Expressed mean curvature flow within generalized mean curvature flow framework.
result Lagrangian condition is preserved along the flow.

We introduce a novel definition of curvature for hypergraphs, a natural generalization of graphs, by introducing a multi-marginal optimal transport problem for a naturally defined random walk on the hypergraph. This curvature, termed \emph{coarse scalar curvature}, generalizes a recent definition of Ricci curvature for…

2018-03-22abs ↗pdf ↗

Optimal controls for conformal Laplacian obstacle problems on spheres and manifolds.

problem Optimal control of conformal metrics with constant scalar curvature.
method Analysis of optimal control problem on Riemannian manifolds with positive Yamabe invariant.
result Existence of smooth optimal controls inducing metrics with constant scalar curvature.

New optimal surfaces found in Heisenberg group defy Euclidean sphere optimality.

problem Optimizing mean curvature in Heisenberg group sub-Riemannian setting.
method Developed variational theory, established first and second variation formulas, introduced new critical surfaces.
result Identified and characterized a new family of rotationally invariant critical surfaces, the Pansu-Minkowski spheres.

The study optimizes cell membranes' shapes based on curvature and proves existence of minimizers.

problem Optimizing cell membranes' shapes with respect to curvature.
method Modeling cell membranes as optimal shapes with L2L^2-deficit of mean curvature to spontaneous curvature, and proving lower semi-continuity and existence of minimizers.
result Smoothly embedded minimizers and diameter bounds are obtained.

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.

This is the lecture notes on the interplay between optimal transport and Riemannian geometry. On a Riemannian manifold, the convexity of entropy along optimal transport in the space of probability measures characterizes lower bounds of the Ricci curvature. We then discuss geometric properties of general metric measure …

2010-09-17abs ↗pdf ↗

The study finds a limit on the volume growth of certain 3-manifolds.

problem Volume growth of noncompact 3-manifolds with specific curvature properties.
method Analyzes 3-dimensional complete non-compact Riemannian manifolds with asymptotically nonnegative Ricci curvature and positive scalar curvature.
result Optimal asymptotic volume ratio for manifolds with finite first Betti number and linear volume growth.

Study relationships between intrinsic and extrinsic invariants of Riemannian almost k-product manifolds.

problem Find a relationship between intrinsic and extrinsic invariants of Riemannian almost k-product manifolds isometrically immersed in another Riemannian manifold.
method Establish an optimal inequality involving mixed scalar curvature and square of mean curvature.
result Optimal inequality that includes mixed scalar curvature and square of mean curvature.

Optimal systolic inequality proved for manifolds with positive bi-Ricci curvature.

problem Proving optimal systolic inequalities on manifolds with positive bi-Ricci curvature.
method Minimal surfaces method under the Generic Regularity Hypothesis.
result Optimal systolic inequality proved in all dimensions.

The study finds a diameter bound for graphs with positive entropic Ricci curvature, with optimal bounds for arithmetic mean.

problem Finding diameter bounds for graphs with positive entropic Ricci curvature.
method Using a localized gradient estimate and an equivalent definition of entropic Ricci curvature, the study derives a Bonnet-Myers type diameter bound.
result The derived diameter bound is optimal for arithmetic mean, but not for logarithmic mean.

Paper proves optimal systolic inequality for manifolds with positive triRic curvature.

problem Optimal systolic inequality for manifolds with positive triRic curvature.
method Stable weighted kk-slicing, volume comparison theorem, and metric deformation.
result Proves an optimal systolic inequality and characterizes the equality case.

CWGD measures gradient diversity weighted by curvature, improving SGD convergence.

problem Gradient noise in high-curvature directions is underestimated by standard methods.
method CWGD weights gradient diversity by the inverse square root of the Hessian.
result CWGD-Cosine reduces optimization error by up to 20% compared to standard cosine annealing.

Optimally regularizes boundaries in the Heisenberg group with prescribed curvature.

problem Optimizing boundaries with prescribed sub-Finsler mean curvature in the Heisenberg group.
method Analyzes critical sets of the prescribed mean curvature functional in the Heisenberg group.
result Characteristic curves of critical sets are C2C^2-regular, optimal in the Heisenberg group.

Develop intrinsic consensus-based optimization framework on Riemannian manifolds with bounded curvature.

problem Nonconvex optimization on manifolds
method Intrinsic consensus-based optimization on Riemannian manifolds with bounded curvature
result Global convergence of the mean-field equation toward a global minimizer of the objective function.

New algorithm exploits curvature of feasible sets for fast online convex optimization.

problem Online convex optimization with fast rates.
method Adapting FTL algorithm to curvature of feasible sets.
result Achieves logarithmic regret bound of O(ρlogT)O(ρ\log T) in stochastic environments.

The paper derives optimal inequalities for bi-slant submanifolds in metallic Riemannian space forms.

problem Understanding geometric properties of bi-slant submanifolds in metallic Riemannian product space forms.
method Deriving generalized Wintgen inequality, optimal inequalities involving δ-invariants, Ricci curvature, shape operator invariants, and generalized normalized δ-Casorati curvatures.
result Established optimal inequalities for bi-slant submanifolds in metallic Riemannian product space forms.