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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.

169,291 papers · 148 categories

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12.5%25.0%37.5%50.0% · May 199319922001200920182026
48 results for asymptotic development

Develops local theory for singular spacetimes becoming asymptotically self-similar.

problem Construction of singular spacetimes in all dimensions.
method Local theory and construction of exact self-similar solutions.
result Construction of exact self-similar solutions corresponding to formal asymptotic expansions.

Asymptotically consistent clustering algorithms for ergodic stochastic processes are developed.

problem Clustering stochastic processes with consistency guarantees.
method Review and development of clustering algorithms for ergodic stochastic processes.
result Asymptotically consistent clustering algorithms can be obtained for ergodic stochastic processes.

The paper proves an asymptotic development for weighted sums of multiplicity functions on a torus-manifold.

problem Proving an asymptotic development for weighted sums of multiplicity functions on a torus-manifold.
method Using equivariant Riemann-Roch theorem and graded Todd class, the paper proves an asymptotic development for weighted sums of multiplicity functions on a torus-manifold.
result The weighted sum of multiplicity functions has an asymptotic development in terms of the twisted Duistermaat-Heckman distributions associated to the graded Todd class of M.

Study geometric characterization of asymptotic pseudodifferential calculus on spinor bundles.

problem Geometric characterization of asymptotic pseudodifferential calculus on spinor bundles.
method Groupoid approach to pseudodifferential calculus, rescaled bundle.
result Rescaled bundle provides geometric characterization to asymptotic pseudodifferential calculus on spinor bundles.

Develops techniques to estimate thresholds for logarithmic surfaces, proving existence of Kahler-Einstein metrics.

problem Estimating basis log canonical thresholds on logarithmic surfaces.
method Develops new local intersection estimates to imply log canonicity.
result Shows the existence of Kahler-Einstein edge metrics on asymptotically log del Pezzo surfaces.

Researchers extend asymptotic analysis to Bergman projections with Gevrey weights.

problem Analyzing Bergman projections with Gevrey weights.
method Extending direct approach to semiclassical asymptotics to Gevrey weights using Fourier integral operators.
result Gevrey symbol amplitude of asymptotic Bergman projection with Gevrey weights and Gevrey-type growth rate.

Developed tools to compute charged Bartnik mass for Einstein-Maxwell equations.

problem Computing quasi-local mass for charged initial data sets.
method Created extensions and gluing techniques for time-symmetric initial data sets of Einstein-Maxwell equations.
result Computed ad-hoc charged Bartnik mass for suitable charged minimal Bartnik data.

Develops confidence intervals for ECE, a measure of model calibration.

problem Ensuring the calibration of probabilistic predictions in machine learning models.
method Develops confidence intervals for the 2\ell_2 Expected Calibration Error (ECE), considering top-1-to-kk calibration.
result Shows asymptotic normality and different convergence rates for calibrated and miscalibrated models, developing methods to construct valid confidence intervals.

We develop some basic Lipschitz homotopy technique and apply it to manifolds with finite asymptotic dimension. In particular we show that the Higson compactification of a uniformly contractible manifold is mod pp acyclic in the finite dimensional case. Then we give an alternative proof of the Higher Signature Novikov …

2001-02-19abs ↗pdf ↗

We study the spherical cap packing problem with a probabilistic approach. Such probabilistic considerations result in an asymptotic sharp universal uniform bound on the maximal inner product between any set of unit vectors and a stochastically independent uniformly distributed unit vector. When the set of unit vectors …

2015-11-19abs ↗pdf ↗

Develops a generalized version of Chung's Lemma for stochastic optimization methods.

problem Establishing asymptotic convergence rates for stochastic optimization methods under various step size rules.
method Generalized version of Chung's Lemma for a broader family of step size rules.
result Demonstrates tight non-asymptotic convergence rates for various stochastic methods.

Develops calculus for conformal hypersurfaces and new Willmore energy functionals.

problem Invariant theory for conformal hypersurfaces.
method Solving singular Yamabe problem, developing calculus of differential operators, computing asymptotics.
result New higher Willmore energy functionals for embedded surfaces.

Develops asymptotic analysis for RandNLA sampling estimators in least-squares problems.

problem Lack of distributional information for RandNLA estimators in statistical inference.
method Asymptotic analysis of sampling estimators for least-squares problems in two settings.
result Sampling estimators are asymptotically normally distributed under mild conditions.

The article develops deformation theory for ACyl associative submanifolds in ACyl G2-manifolds.

problem Deformation theory of ACyl associative submanifolds in ACyl G2-manifolds.
method Study of moduli spaces with fixed and varying asymptotic data, computing virtual dimensions.
result The moduli space of ACyl associative submanifolds embeds as a Lagrangian submanifold in the moduli space of holomorphic curves.

To better understand the interplay of censoring and sparsity we develop finite sample properties of nonparametric Cox proportional hazard's model. Due to high impact of sequencing data, carrying genetic information of each individual, we work with over-parametrized problem and propose general class of group penalties s…

2012-07-18abs ↗pdf ↗

Uniformity and proximity are two different ways for defining small scale structures on a set. Coarse structures are large scale counterparts of uniform structures. In this paper, motivated by the definition of proximity, we develop the concept of asymptotic resemblance as a relation between subsets of a set to define a…

2013-10-23abs ↗pdf ↗

New asymptotic e-values improve inference by eliminating data-dependent scaling inefficiency.

problem Data-dependent scaling inefficiency in existing asymptotic e-values.
method Drawing on Bentkus's near-optimal concentration inequalities, introduce Bentkus-type asymptotic e-values.
result Bentkus-type asymptotic e-values consistently deliver sharper inference than existing alternatives.

Develops a new asymptotic efficiency theory for non-Euclidean parameter spaces.

problem Lack of a unified efficiency theory for non-Euclidean parameter spaces.
method Introduces a new theory for Riemannian manifolds with regularity conditions.
result Establishes efficiency bounds for non-Euclidean parameter spaces.

Homological blocks match Witten-Reshetikhin-Turaev invariants for Seifert fibered 3-spheres.

problem Matching homological blocks with WRT invariants for specific 3-manifolds.
method Developed an asymptotic formula and vanishing result of coefficients.
result Radial limits of homological blocks match Witten-Reshetikhin-Turaev invariants.

The paper develops AMP theory for sparse and robust regression with polynomial iterations.

problem Challenges in high-dimensional statistical estimation due to asymptotic theory breakdown.
method Non-asymptotic distributional theory of AMP for sparse and robust regression.
result First finite-sample non-asymptotic distributional theory of AMP for polynomial iterations.

Paper proves robust M-estimators' coordinates' normality in high dimensions.

problem High-dimensional robust M-estimators' asymptotic normality.
method Develops Stein formulae for high-dimensional random vectors on the sphere.
result Asymptotic normality holds for most coordinates of robust M-estimators with convex penalty.

We study Ricci flows on RnR^n, n3n\ge 3, that evolve from asymptotically flat initial data. Under mild conditions on the initial data, we show that the flow exists and remains asymptotically flat for an interval of time. The mass is constant in time along the flow. We then specialize to the case of rotationally symmetr…

2006-07-18abs ↗pdf ↗

Develops new bounds for deterministic samplers in diffusion models.

problem Analyzing deterministic samplers in diffusion generative models.
method Operational interpretation of deterministic sampling; restoration and degradation steps.
result First polynomial convergence bounds for DDIM-type samplers.

We develop a new method for the calculation of the heat trace asymptotics of the Laplacian on symmetric spaces that is based on a representation of the heat semigroup in form of an average over the Lie group of isometries and obtain a generating function for the whole sequence of all heat invariants.

2006-05-30abs ↗pdf ↗

Gu and Zhu have shown that Type-II Ricci flow singularities develop from nongeneric rotationally symmetric Riemannian metrics on SmS^m, for all m3m\geq 3. In this paper, we describe and provide plausibility arguments for a detailed asymptotic profile and rate of curvature blow-up that we predict such solutions exhibit.

2010-11-22abs ↗pdf ↗

Study instantons on asymptotically conical Spin(7)-manifolds, identifying deformation spaces.

problem Deformation theory of instantons on specific Spin(7)-manifolds.
method Relating deformation complex to spinors, identifying kernel of twisted negative Dirac operator.
result Virtual dimension of moduli space calculated using index theorem and Dirac operator spectrum.

New methods for handling confounding in observational studies.

problem Handling confounding variables in observational studies.
method Generalized coarsened procedures for clustering confounding variables, followed by estimation of treatment effects and variance.
result Developed a general asymptotic framework for the average causal effect estimator and variance formulae.

Proves Penrose inequality for specific asymptotically flat manifolds.

problem Proving Penrose inequality for certain types of manifolds.
method Developed a new approximation scheme for a flow and established monotonicity of a free boundary Hawking mass.
result Proved the Riemannian Penrose inequality for specified manifolds.

Developed theory of Perelman's W-functional on manifolds with conical singularities.

problem Analyzing manifolds with conical singularities using Perelman's W-functional.
method Theory development and mathematical analysis on manifolds with isolated conical singularities.
result Existence and asymptotic order of minimizers for the W-functional on manifolds with conical singularities.

The paper develops asymptotic theory for QRF variable importance, revealing a bias-variance trade-off.

problem Challenges in statistical inference for QRF variable importance due to non-smoothness and bias-variance trade-off.
method Developed asymptotic theory using pinball loss and Knight's identity, uncovered phase transition phenomenon, derived asymptotic bias.
result Theoretical foundation for understanding QRF inference limitations in high-dimensional settings.

We study "warped Berger" solutions $\big(\mc S^1\times\mc S^3,G(t)\big)$ of Ricci flow: generalized warped products with the metric induced on each fiber {s}×SU(2)\{s\}\times\mathrm{SU}(2) a left-invariant Berger metric. We prove that this structure is preserved by the flow, that these solutions develop finite-time neckpinch …

2013-12-10abs ↗pdf ↗