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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.

168,742 papers · 148 categories

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1345 · Aug 201919922001200920172026
48 results for k-folding map-germs

Let MM and NN be Nash manifolds, and ff and gg Nash maps from MM to NN. If MM and NN are compact and if ff and gg are analytically R-L equivalent, then they are Nash R-L equivalent. In the local case, CinftyC^infty R-L equivalence of two Nash map germs implies Nash R-L equivalence. This shows a difference of Nash…

2010-04-23abs ↗pdf ↗

In this paper, two sufficient conditions are provided for given two K-equivalent map-germs to be bi-Lipschitz A-equivalent. These are Lipschitz analogues of the known results on C^r-A-equivalence (0r)(0 \leq r \leq \infty) for given two K-equivalent map-germs. As a corollary of one of our results, a Lipschitz version of …

2013-02-20abs ↗pdf ↗

In this paper, we introduce the notions of map-germs of pedal unfolding type and normalized Legendrian map-germs; and then we show that the fundamental theorem of calculus provides a natural one to one correspondence between Whitney umbrellas of pedal unfolding type and normalized swallowtails.

2011-12-21abs ↗pdf ↗

We define an equivalence relation called A-isotopy between finitely determined map-germs, which is a strengthened version of A-equivalence. We consider the number of A-isotopy classes of equidimensional Morin singularities, and some other well-known low-dimensional singularities. We also give an application to stable p…

2015-10-13abs ↗pdf ↗

We present a complete set of criteria for determining A-types of plane-to-plane map-germs of corank one with A-codimension <7, which provides a new insight into the A-classification theory from the viewpoint of recognition problem. As an application to generic differential geometry, we discuss about projections of smoo…

2015-03-30abs ↗pdf ↗

Study the topological information of map germs using Euler obstruction.

problem Capturing topological information from map germs with complex singular spaces.
method Investigates the Euler obstruction and its relation to local Euler obstruction and Brasselet number.
result Relates Chern number to the number of cusps in a perturbed map-germ.

The study investigates deformations of swallowtails in 3D space, preserving curvature signs.

problem Deforming swallowtails in 3D space while maintaining curvature signs.
method Representation formula for swallowtails, investigation of map germs, and analysis of Gaussian curvatures.
result Swallowtails can be deformed into a swallowtail of constant Gaussian curvature while preserving curvature signs.

We provide bi-Lipschitz invariants for finitely determined map germs f:(Kn,0)(Kp,0)f: (\mathbb{K}^n,0) \to (\mathbb{K}^p, 0), where K=R\mathbb{K} = \mathbb{R} or C \mathbb{C}. The aim of the paper is to provide partial answers to the following questions: Does the bi-Lipschitz type of a map germ $f: (\mathbb{R}^n, 0) \to (\mathbb{R…

2019-02-06abs ↗pdf ↗

We consider equivalence relations among smooth map germs with respect to geometry of G-structures on the target space germ. These equivalence relations are natural generalization of right-left equivalence (i.e., A-equivalence) in the sense of Thom-Mather depending on geometric structures on the target space germ. Unfor…

2019-08-22abs ↗pdf ↗

The paper improves Zakalyukin's lemma for frontals and applies it to surface singularities.

problem Improving the conditions under which wave front germs imply map germs.
method Generalization of Zakalyukin's lemma for frontals and applications to surface singularities.
result The paper provides a more general version of Zakalyukin's lemma for map germs.

K-fold CV improves machine learning model selection but faces challenges with small datasets.

problem Challenges in validating machine learning models, especially with small datasets.
method K-fold cross-validation with K-fold CUBV (Upper Bound of the actual risk) and Upper Bound of the actual risk for linear classifiers.
result K-fold CUBV is a robust criterion for detecting effects and validating accuracy values from machine learning models.

In this paper we study the Milnor fibrations associated to real analytic map germs ψ:(Rm,0)(R2,0)ψ:(\mathbb{R}^{m},0) \to (\mathbb{R}^2,0) with isolated critical point at 0Rm0\in \mathbb{R}^{m}. The main result relates the existence of called Strong Milnor fibrations with a transversality condition of a convenient family of analyti…

2008-02-20abs ↗pdf ↗

We use topology of configuration spaces to give a characterization of Neuwirth--Stallings pairs (S5,K)(S^5, K) with dimK=2\dim K = 2. As a consequence, we construct polynomial map germs (R6,0)(R3,0)(\mathbb{R}^{6},0)\to (\mathbb{R}^{3},0) with an isolated singularity at the origin such that their Milnor fibers are not diffeomorphic to a…

2014-06-08abs ↗pdf ↗

This work improves AutoML systems by dynamically evaluating fitness to reduce overfitting.

problem Overfitting in AutoML systems, especially during internal cross-validation iterations.
method Introducing dynamic fitness evaluations that approximate repeated k-fold cross-validation.
result Significant improvement in generalization/testing performance over baseline methods.

Study the topology of Milnor boundaries for real analytic map germs.

problem Topology of Milnor boundaries for real analytic map germs.
method Prove Milnor boundaries are double of Milnor tubes and use generalized open-book decompositions.
result Prove Euler characteristic formulae connecting Milnor boundaries and links.

We construct the full linearisation functor which takes a graded bundle of degree kk (a particular kind of graded manifold) and produces a kk-fold vector bundle. We fully characterise the image of the full linearisation functor and show that we obtain a subcategory of kk-fold vector bundles consisting of symmetric $…

2015-12-08abs ↗pdf ↗

A manifold is locally \emph{kk-fold symmetric}, if for any point and any kk-dimensional vector subspace tangent to this point there exists a local isometry such that this point is a fixed point and the differential of the isometry restricted to that kk-dimensional vector subspace is minus the identity. We show that …

2016-07-19abs ↗pdf ↗

Groups with specific curvature have a regular language of geodesics.

problem Understanding the language of geodesics in non-positively curved triangle groups.
method Proving finitely many cone types and regularity of geodesic languages.
result The language of lexicographically first geodesics is regular and satisfies the fellow traveller property.

Proposes K-Fold Causal BART for improved CATE estimation.

problem Improving estimation of Conditional Average Treatment Effects (CATE).
method K-Fold Causal Bayesian Additive Regression Trees (K-Fold Causal BART).
result K-Fold Causal BART is not state-of-the-art for ATE and CATE estimation in the IHDP dataset, but provides insights into model robustness and evaluation methods.

Improves test set performance and reduces out-of-sample disappointment for unstable models.

problem Ensuring strong test set performance via cross-validation for unstable models.
method Nested k-fold cross-validation with hyperparameter selection based on a weighted sum of cross-validation metric and model stability measure.
result Improves out-of-sample MSE for sparse ridge regression and CART by 4% and 2% respectively, compared to k-fold cross-validation.

Improved portfolio optimization method yields better risk-adjusted returns.

problem Optimizing global minimum variance portfolios with reduced risk.
method k-fold boosted kk-BAHC covariance cleaning procedure for correlation matrices.
result Our method outperforms other filtering methods in Sharpe ratios, despite higher turnover.

Let f:VnMmf:V^n\looparrowright M^m be a smooth generic immersion. Then the set of points, that have at least kk preimages is an image of a (non-generic) immersion. If the manifolds VnV^n and MmM^m are oriented and mnm-n is even, then the manifold of kk-fold points is also oriented. In this paper we compute the oriented b…

2000-08-07abs ↗pdf ↗

Proposes a method to create prediction intervals for neural networks using cross-validation.

problem Lack of prediction intervals for neural networks.
method k-fold cross-validation to construct conformal prediction intervals.
result Proposed method produces narrower intervals with similar coverage compared to SC method.

K-fold Cross Validation is commonly used to evaluate classifiers and tune their hyperparameters. However, it assumes that data points are Independent and Identically Distributed (i.i.d.) so that samples used in the training and test sets can be selected randomly and uniformly. In Human Activity Recognition datasets, we…

2019-04-04abs ↗pdf ↗

Quasi-holomorphic homotopies of immersions of 3-manifolds into 5-manifolds

problem The study of homotopies of immersions of 3-manifolds into 5-manifolds
method Describing the local form of quasi-holomorphic homotopies and connections with holomorphic map germs
result A complete description of how the fundamental group of the complement of the image of an immersion changes under a quasi-holomorphic homotopy

We consider branched coverings which are simple in the sense that any point of the target has at most one singular preimage. The cobordism classes of kk-fold simple branched coverings between nn-manifolds form an abelian group Cob1(n,k)Cob^1(n,k). Moreover, Cob1(,k)=n=0Cob1(n,k)Cob^1(*,k) = \bigoplus_{n=0}^{\infty} Cob^1(n,k) is a module over…

2017-07-08abs ↗pdf ↗

We study singularities of constant positive Gaussian curvature surfaces and determine the way they bifurcate in generic 1-parameter families of such surfaces. We construct the bifurcations explicitly using loop group methods. Constant Gaussian curvature surfaces correspond to harmonic maps, and we examine the relations…

2017-09-04abs ↗pdf ↗

We consider a priori generalization bounds developed in terms of cross-validation estimates and the stability of learners. In particular, we first derive an exponential Efron-Stein type tail inequality for the concentration of a general function of n independent random variables. Next, under some reasonable notion of s…

2017-06-19abs ↗pdf ↗

Study describes singularities of height functions on specific singular surfaces.

problem Analyzing singularities of height functions on singular surfaces.
method Using geometric language and blowing-ups, investigate singularities of height functions and dual surfaces.
result Characterized singularities of height functions and dual surfaces on specific singular surfaces.

Echo State Networks (ESNs) are known for their fast and precise one-shot learning of time series. But they often need good hyper-parameter tuning for best performance. For this good validation is key, but usually, a single validation split is used. In this rather practical contribution we suggest several schemes for cr…

2019-08-22abs ↗pdf ↗

Study describes singularities of distance squared functions on singular surfaces.

problem Characterizing singularities of distance squared functions on singular surfaces.
method Using smooth map-germs SkS_k, BkB_k, CkC_k, and F4F_4 singularities, the study describes singularities via blowing-ups.
result Characterization of singularities of wave-fronts and caustics of singular surfaces.