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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.

168,657 papers · 148 categories

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1234 · Mar 202619922001200920172026
27 results for unboundedness

The paper proves unboundedness of Donaldson-Hitchin functionals on G2 and tG2 forms.

problem Proving unboundedness of Donaldson-Hitchin functionals on G2 and tG2 forms.
method Explicit local calculations combined with covering arguments.
result Proves unboundedness above and below of the Donaldson-Hitchin functionals on G2 and tG2 forms.

The paper proves unboundedness of a functional on G2 forms and describes manifold limits.

problem Proving unboundedness of a functional on G2 forms and describing manifold limits.
method Scaling arguments, geometric estimates, collapsing theorem for orbifolds.
result Explicit descriptions of large volume limits of two G2 manifolds.

The paper disproves the properness conjecture for higher-dimensional minimal hypersurfaces.

problem Properness of complete minimal hypersurfaces in higher dimensions.
method Chord-arc estimates and gluing techniques.
result Construction of a complete, improperly embedded minimal hypersurface in Rn+1\mathbb{R}^{n+1} for every n3n\ge 3.

Study validates Michor-Mumford conjecture in infinite dimensional Hilbertian H-type groups.

problem Validation of Michor-Mumford conjecture in infinite dimensional Hilbertian H-type groups.
method Introduced infinite dimensional Hilbertian H-type groups with weak, graded, left invariant Riemannian metrics and proved the vanishing of geodesic distance and local unboundedness of sectional curvature.
result Validation of Michor-Mumford conjecture linking geodesic distance vanishing to local unboundedness of sectional curvature.

In this paper, we study Euler classes in groups of homeomorphisms of Seifert fibered 3-manifolds. We show that, in contrast to the familiar Euler class for Homeo0(S1)δ\mathrm{Homeo}_0(S^1)^δ, these Euler classes for Homeo0(M3)δ\mathrm{Homeo}_0(M^3)^δ are unbounded classes. In fact, we give examples of flat topological M bundles over a g…

2017-09-11abs ↗pdf ↗

New principle for harmonic maps helps study higher-dimensional submanifolds.

problem Understanding unboundedness of totally geodesic projections in higher codimension.
method Introducing a flexible notion of convexity and applying it to harmonic and conformal maps.
result New maximum principle for harmonic maps applicable to various geometric settings.

This paper extends quasimorphism results to nonorientable surfaces.

problem Understanding quasimorphisms on nonorientable surface diffeomorphism groups.
method Constructing infinitely many quasimorphisms on the identity component of nonorientable surface diffeomorphism groups.
result The space of nontrivial quasimorphisms on the identity component of the diffeomorphism group of a closed nonorientable surface is infinite-dimensional.

The paper improves convergence for linear systems using entropic mirror descent with Polyak stepsizes.

problem Convergence analysis for linear systems with unbounded domain.
method Entropic mirror descent with Polyak stepsizes, sublinear and linear convergence results.
result Generalized convergence result for arbitrary convex functions.

The paper studies quasimorphisms and distortion in homeomorphism groups of manifolds.

problem Identifying quasimorphisms that extend continuously to homeomorphism groups.
method Analyzing Gambaudo-Ghys and Polterovich quasimorphisms, extending them continuously, and presenting applications.
result Conditions for undistorted homeomorphisms and unbounded bi-invariant metrics.

Paper tackles unbounded density ratio estimation for covariate shift adaptation.

problem Understudied challenge in statistical learning: unbounded density ratios.
method Three-step estimation method: relative density ratio, truncation, and transformation.
result Established rigorous convergence guarantees for density ratio and regression estimators.

The support vector machine (SVM) is one of the most successful learning methods for solving classification problems. Despite its popularity, SVM has a serious drawback, that is sensitivity to outliers in training samples. The penalty on misclassification is defined by a convex loss called the hinge loss, and the unboun…

2014-09-03abs ↗pdf ↗

Study of geodesics on SL(n) with Hilbert-Schmidt metric, revealing complex dynamics in higher dimensions.

problem Geodesics on SL(n) with Hilbert-Schmidt metric.
method Analysis of geodesics, use of Virial-identity-based criterion, study of explicit families of solutions, classification of geodesics.
result Complex dynamics in higher dimensions, existence of bounded geodesic motions in even dimensions, instability of swirling and shear flows in even dimensions.

Study improves robust nonparametric regression in heavy-tailed noise.

problem Robust nonparametric regression with heavy-tailed noise and unbounded functions.
method Huber regression in reproducing kernel Hilbert spaces (RKHS), probabilistic effective hypothesis space, new comparison theorems.
result Explicit finite-sample error bounds and convergence rates for Huber regression in RKHS under heavy-tailed noise.

The paper provides stability guarantees for non-parametric maximum likelihood estimation using statistical mechanics.

problem Non-parametric maximum likelihood estimation and Gaussian mixture models.
method Statistical mechanics analysis to establish stability guarantees for NPMLE.
result High probability upper bounds on the Kullback-Leibler divergence between NPMLE estimators and the true density.

Novel oracle-type inequality for logistic loss in DNNs achieves sharp convergence rates.

problem Generalization analysis for binary classification with DNNs and logistic loss.
method Established an oracle-type inequality to handle the boundedness of the target function.
result Optimal convergence rates for fully connected ReLU DNN classifiers trained with logistic loss.