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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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113226339452 · Jun 202019922001200920172026
48 results for minimal regularity

The paper studies the loss landscape of regularized deep matrix factorization, revealing unique and sharp minimizers.

problem Understanding the loss landscape and minimizers of regularized deep matrix factorization problems.
method Theoretical analysis of 2\ell^2-regularized deep matrix factorization/deep linear network training problems with squared-error loss.
result The unique end-to-end minimizer exists for all target matrices except for a set of Lebesgue measure zero.

Study improves boundary smoothness for area-minimizing currents with complex boundaries.

problem Boundary regularity for area-minimizing currents with arbitrary multiplicity.
method Generalization of Allard's boundary regularity theorem.
result Derivation of structural consequences from the generalized theorem.

This is the last of a series of three papers in which we give a new, shorter proof of a slightly improved version of Almgren's partial regularity of area minimizing currents in Riemannian manifolds. Here we perform a blow-up analysis deducing the regularity of area minimizing currents from that of Dir-minimizing multip…

2013-06-05abs ↗pdf ↗

The paper examines partial regularity of Lipschitz solutions to minimal surface system.

problem Understanding the regularity of solutions to the minimal surface system.
method Investigation of stationary, integral weak, and viscosity solutions; interior gradient estimate using maximum principle.
result Partial regularity results for Lipschitz solutions, including interior gradient estimate.

We introduce a notion of non-local almost minimal boundaries similar to that introduced by Almgren in geometric measure theory. Extending methods developed recently for non-local minimal surfaces we prove that flat non-local almost minimal boundaries are smooth. This can be viewed as a non-local version of the Almgren-…

2010-03-12abs ↗pdf ↗

We prove that the Gauss curvature and the curvature of the normal connection of any minimal surface in the four dimensional Euclidean space satisfy an inequality, which generates two classes of minimal surfaces: minimal surfaces of general type and minimal super-conformal surfaces. We prove a Bonnet-type theorem for st…

2008-06-20abs ↗pdf ↗

The study finds generic regularity of minimal hypersurfaces in Riemannian manifolds.

problem Finding regularity of minimal hypersurfaces in Riemannian manifolds.
method Estimate for a one-parameter min-max minimal hypersurface.
result Generic regularity of minimal hypersurfaces in 8-dimensional Riemannian manifolds with positive Ricci curvature.

Examples of area-minimizing graphs with low regularity in a specific group.

problem Finding area-minimizing graphs with low regularity in a sub-Finsler Heisenberg group.
method Providing examples of entire area-minimizing horizontal graphs with prescribed singular sets.
result Examples of area-minimizing graphs that are locally Lipschitz but not necessarily smoother.

Study on high-codimensional minimal surfaces in hyperbolic space.

problem Understanding high-codimensional minimal surfaces in hyperbolic space.
method Investigating asymptotic behavior and boundary regularity of area-minimizing currents.
result Established boundary regularity results for high-codimensional minimal surfaces near their asymptotic boundaries.

We recast the Calabi flow in DeGiorgi's language of minimizing movements. We establish the long time existence of minimizing movements for K-energy with arbitrary initial condition. Furthermore we establish some a priori regularity of these solutions, and that sufficiently regular minimizing movements are smooth soluti…

2012-08-13abs ↗pdf ↗

New regularization method reduces support of empirical risk minimization solutions.

problem Regularization in empirical risk minimization with relative entropy.
method Introduces Type-II regularization, characterizes solutions, analyzes properties of relative entropy.
result Type-II regularization collapses solution support into reference measure's support.

Study geodesics in sub-Riemannian manifolds, resolving open questions.

problem Understanding geodesics in sub-Riemannian geometry, especially those that lose regularity.
method Constructing examples and using a lifting procedure.
result Existence of non-smooth and branching minimizing geodesics in real-analytic sub-Riemannian manifolds and Carnot groups.

Diagonal linear networks converge to lasso regularization path during training.

problem Understanding the regularization behavior of diagonal linear networks.
method Analyzing the training trajectory of diagonal linear networks and comparing it to the lasso regularization path.
result The training trajectory of diagonal linear networks is closely related to the lasso regularization path.

We consider the problem of minimizing the bending or elastic energy among Jordan curves confined in a given open set ΩΩ. We prove existence, regularity and some structural properties of minimizers. In particular, when ΩΩ is convex we show that a minimizer is necessarily a convex curve. We also provide an example of a…

2015-08-24abs ↗pdf ↗

Optimal regularity theory for stable minimal hypersurfaces with small singular set.

problem Optimal regularity of stable minimal hypersurfaces with small singular set.
method Analysis of stable minimal hypersurfaces in a specific domain with small singular set.
result Optimal size assumption on the non-immersed singular set guarantees optimal regularity.

Study uses property elicitation to understand how fairness regularizers affect optimal decisions.

problem Understanding how fairness regularizers change the optimal decision in predictive algorithms.
method Property elicitation to analyze the relationship between loss, regularization, and optimal decision.
result Necessary and sufficient condition for when a property changes with the addition of a regularizer.

In this work, we study data preconditioning, a well-known and long-existing technique, for boosting the convergence of first-order methods for regularized loss minimization. It is well understood that the condition number of the problem, i.e., the ratio of the Lipschitz constant to the strong convexity modulus, has a h…

2014-08-13abs ↗pdf ↗

An embedded cubic graph consisting of segments of geodesics such that the angles at any vertex are equal to 2π/32π/3 is a closed local minimal net. This net is regular if all segments of geodesics are equal. The problem of classification of closed local minimal nets on surfaces of constant negative curvature has been for…

1998-07-13abs ↗pdf ↗

Proves a function's locally least gradient property if its level sets are minimal laminations.

problem Understanding the relationship between 1-harmonic functions and minimal laminations.
method Analyzes minimal laminations and their convergence properties, then applies to 1-harmonic functions.
result Proves a function is 1-harmonic if its level sets are minimal laminations.

The paper proves existence and partial regularity for Legendrian area-minimizing currents.

problem Existence and partial regularity of Legendrian area-minimizing currents.
method Local minimization and application to the Legendrian Plateau problem.
result Existence and partial regularity of solutions to the Legendrian Plateau problem.

The study shows that certain graphs are regular at boundary points.

problem Boundary regularity of anisotropic minimal Lipschitz graphs.
method Proves regularity for graphs with bounded anisotropic mean curvature and atomic energy condition.
result Regularity at boundary points with density bounded above by 1/2 + σ.

Improved optimal regularity for harmonic almost complex structures.

problem Establishing optimal regularity for harmonic almost complex structures.
method Quantitative stratification method and rectifiability of singular strata.
result Optimal regularity theory for energy minimizing harmonic almost complex structures.

AMP regularization improves deep learning models by favoring flat minima.

problem Improving deep learning model generalization and avoiding overfitting.
method AMP regularization uses adversarial model perturbation to minimize a norm-bounded perturbation of the empirical risk.
result AMP regularization leads to state-of-the-art performance across various deep architectures.

In a series of papers, including the present one, we give a new, shorter proof of Almgren's partial regularity theorem for area minimizing currents in a Riemannian manifold, with a slight improvement on the regularity assumption for the latter. This note establishes a new a priori estimate on the excess measure of an a…

2013-06-05abs ↗pdf ↗

The paper proves smoothness of almost-minimizers' boundaries near the free boundary.

problem Minimizing degenerate area functionals with weighted boundary conditions.
method Epsilon-regularity theorem applied to almost-minimizers.
result Almost-minimizers' boundaries are C1,γ0C^{1,γ_0}-smooth, orthogonal to the boundary ΩΩ.