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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.

168,695 papers · 148 categories

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134268401535 · Jun 202019922001200920172026
48 results for curved double complexes

Distance, normals, and double normals for real plane curves with singularities

problem Relation between normals and double normals and critical points of the squared distance function for real algebraic curves with singularities
method Investigate the topological discriminant of the distance function
result The topological discriminant consists of the evolute and distinguished normal lines at algebraic singular points

New findings challenge the traditional U-shaped curve of model complexity and error, revealing a second descent in error as model size increases.

problem The traditional U-shaped curve of model complexity and prediction error is incomplete, with recent work suggesting a second descent in error as model size increases.
method Careful consideration of multiple complexity axes and a nonparametric statistics perspective were used to interpret the observed double descent curves.
result The observed double descent curves in classical statistical machine learning methods fold back into traditional convex shapes, resolving tensions with statistical intuition.

This paper studies covariant derivatives for Lie groupoids with representation-valued forms.

problem Understanding covariant derivatives for Lie groupoids with representation-valued forms.
method The paper explores two approaches: linear connections and multiplicative Ehresmann connections, both yielding geometrically richer curved double complexes.
result The horizontal exterior covariant derivative DD is a key finding, generalizing the well-known operator from principal bundles.

Double descent in portfolio optimization shows improved performance with complexity, then declines, due to overfitting.

problem Improving portfolio optimization performance with model complexity.
method Investigates the relationship between model complexity and out-of-sample performance in mean-variance portfolio optimization.
result Performance of low-dimensional models initially improves with complexity but declines due to overfitting. High-dimensional models show double ascent Sharpe ratio curve.

Every compact symplectic 4-manifold can be realized as a branched cover of the complex projective plane branched along a symplectic curve with cusp and node singularities; the covering map is induced by a triple of sections of a "very ample" line bundle. In this paper, we give an explicit formula describing the behavio…

2006-04-28abs ↗pdf ↗

The coamoeba of any complex algebraic plane curve VV is its image in the real torus under the argument map. The area counted with multiplicity of the coamoeba of any algebraic curve in (C)2(\mathbb{C}^*)^2 is bounded in terms of the degree of the curve. We show in this Note that up to multiplication by a constant in $(\…

2008-05-19abs ↗pdf ↗

Geometric arguments show simplicial arrangements with few double points can't have an irreducible cubic curve dual.

problem Classifying simplicial arrangements with a linear bound on double points.
method Geometric arguments and structure theorem from Green and Tao.
result Simplicial arrangements with few double points can't have an irreducible cubic curve dual.

The paper explores how complex models can improve system identification beyond traditional limits.

problem Balancing model richness and spurious learning in system identification.
method Investigates the double-descent phenomenon in the context of dynamic systems.
result Complex models can improve system identification performance beyond the point of interpolation.

It is proved that the curve graph C1(Σ)C^1(Σ) of a surface Σg,nΣ_{g,n} has a local pathology that had not been identified as such: there are vertices α,βα,β in C1(Σ)C^1(Σ) such that ββ is a dead end of every geodesic joining αα to ββ. It also has double dead-ends. Every dead end has depth 1.

2012-10-24abs ↗pdf ↗

New inequality for odd-degree flexible curves using surface doubling.

problem Bounding the number of non-empty ovals of odd-degree flexible curves.
method Defining an Arnold surface for odd-degree flexible curves and using it to derive a Viro--Zvonilov-type inequality.
result Upper bound on the number of non-empty ovals of odd-degree flexible curves.

We prove a folklore theorem of W. Thurston which provides necessary and sufficient conditions for primality of a certain class of theta-curves. Namely, a theta-curve in the 3-sphere with an unknotted constituent knot U is prime if and only if lifting the third arc of the theta-curve to the double branched cover over U …

2015-09-25abs ↗pdf ↗

Study shows double and triple descent in unsupervised autoencoders, improving performance in various tasks.

problem Exploring the phenomenon of double descent in unsupervised learning.
method Analytical demonstration and extensive experiments on synthetic and real datasets.
result Over-parameterized unsupervised autoencoders exhibit double and triple descent, enhancing performance in downstream tasks.

Neural networks exhibit unimodal variance with model complexity, improving generalization.

problem The classical bias-variance trade-off does not apply to neural networks, leading to better generalization with larger models.
method Measured bias and variance of neural networks, confirmed empirically and theoretically.
result Neural networks show unimodal variance, leading to a double descent risk curve.

We consider (local) parametrizations of Teichmuller space Tg,nT_{g,n} (of genus gg hyperbolic surfaces with nn boundary components) by lengths of 6g6+3n6g-6+3n geodesics. We find a large family of suitable sets of 6g6+3n6g-6+3n geodesics, each set forming a special structure called "admissible double pants decomposition". For …

2011-02-23abs ↗pdf ↗

Given a plane curve γ:S1R2γ: S^1\to \mathbb R^2, we consider the problem of determining the minimal number I(γ)I(γ) of inflections which curves $\mbox{diff}(γ)$ may have, where $\mbox{diff}$ runs over the group of diffeomorphisms of R2\mathbb R^2. We show that if γγ is an immersed curve with D(γ)D(γ) double points and no othe…

2014-02-23abs ↗pdf ↗

Study shows double descent curve in high-dimensional linear regression with random projections.

problem Understanding the generalization performance in high-dimensional settings with random projections.
method Fixed prediction problem, ridge regression estimator, minimum norm least-squares fit, random matrix theory, asymptotic equivalents.
result Exhibit a double descent curve for high-dimensional linear regression with random projections.

This paper explains double descent in linear neural networks, identifying new factors.

problem Understanding double descent in linear neural networks.
method Gradient flow derivation and necessary conditions for double descent.
result Singular values of input-output covariance matrix are important for double descent in two-layer models.

In this paper, we discuss the crossing change operation along exchangeable double curves of a surface-knot diagram. We show that under certain condition, a finite sequence of Roseman moves preserves the property of those exchangeable double curves. As an application for this result, we also define a numerical invariant…

2015-06-07abs ↗pdf ↗

Study on singularities of frontal surfaces, classifying under equivalence.

problem Classifying singularities of frontal surfaces.
method Classification under left-right-equivalence, introduction of frontalisation, definition of cuspidal and transverse double point curves.
result Frontal surfaces have finite codimension if and only if the curves are reduced.

Study dd-invariants of L-space double branched covers of arborescent links.

problem Determine dd-invariants of double branched covers of arborescent links.
method Use immersed curves description of bordered Floer homology and involution of curves.
result Spin dd-invariants of Σ2(L)Σ_2(L) are determined by the signatures of LL.

Various obstructions to knot concordance have been found using Casson-Gordon invariants, higher-order Alexander polynomials, as well as von-Neumann rho-invariants. Examples have been produced using (iterated) doubling operations K=R(c,J), and considering these as parametrized by invariants of the base knot J and doubli…

2011-03-01abs ↗pdf ↗

We study the rational Picard group of the projectivized moduli space of holomorphic n-differentials on complex genus g stable curves. We define (n - 1) natural classes in this Picard group that we call Prym-Tyurin classes. We express these classes as linear combinations of boundary divisors and the divisor of n-differe…

2017-10-03abs ↗pdf ↗

Research on refined algebraic domains respecting differential geometry.

problem Understanding shapes and regions of real algebraic curves.
method Investigates points in two curves, singular points, inflection points, and points of double tangent lines, considering differential geometry.
result Proves fundamental properties and investigates examples of refined algebraic domains.

Random Forests don't overfit, challenging the double-descent theory.

problem The overfitting behavior of Random Forests.
method Challenged the double-descent curve theory by analyzing the performance of Random Forests and proposing a new approach to diversity in ensembles.
result Random Forests do not exhibit a double-descent curve but rather a single descent, indicating they do not overfit in the classic sense.

In this paper we study 1/k-geodesics, those closed geodesics that minimize on any subinterval of length L/kL/k, where LL is the length of the geodesic. We investigate the existence and behavior of these curves on doubled polygons and show that every doubled regular nn-gon admits a 1/2n1/2n-geodesic. For the doubled regu…

2019-09-20abs ↗pdf ↗

The paper explores conic-line arrangements via Poncelet's theorem and finds families of reducible curves.

problem Understanding the topology of conic-line arrangements using Poncelet's theorem.
method Study unramified double covers induced by Poncelet transverses.
result Existence of families of Zariski pairs of degree 2m+62m+6 for m2m\geq 2.

The study explores cohomological invariants and decomposes them into irreducible parts, focusing on zigzags.

problem Finding cohomological invariants and their decomposition into irreducible parts.
method Investigates various cohomological invariants on double complexes, focusing on the multiplicities of zigzags.
result The multiplicities of zigzags in double complexes are not sufficient to distinguish non-isomorphic double complexes.

We exhibit new examples of double Kodaira fibrations by using finite Galois covers of a product Σb×ΣbΣ_b \times Σ_b, where ΣbΣ_b is a smooth projective curve of genus b2b \geq 2. Each cover is obtained by providing an explicit group epimorphism from the pure braid group P2(Σb)\mathsf{P}_2(Σ_b) to some finite Heisenberg group.…

2019-05-08abs ↗pdf ↗

Single Hurwitz numbers enumerate branched covers of the Riemann sphere with specified genus, prescribed ramification over infinity, and simple branching elsewhere. They exhibit a remarkably rich structure. In particular, they arise as intersection numbers on moduli spaces of curves and are governed by the topological r…

2018-11-13abs ↗pdf ↗

Theory and method for reducing prediction variance in noisy feature-subsampled ridge ensembles.

problem Reduction of prediction variance in noisy data with feature bagging.
method Developed analytical learning curves for noisy ridge ensembles, introduced heterogeneous feature ensembling.
result Subsampling shifts the double-descent peak, leading to improved performance over a single linear predictor.

Paper connects neural networks to Gaussian processes for understanding double-descent.

problem Understanding the double-descent phenomenon in neural networks.
method Uses techniques from random matrix theory and Gaussian processes.
result Establishes a connection between NNGP and random matrix theory for neural networks.

We study configurations of immersed curves in surfaces and surfaces in 3-manifolds. Among other results, we show that primitive curves have only finitely many configurations which minimize the number of double points. We give examples of minimal configurations not realized by geodesics in any hyperbolic metric.

1999-03-22abs ↗pdf ↗

A double pants decomposition of a 2-dimensional surface is a collection of two pants decomposition of this surface introduced in arXiv:1005.0073v2. There are two natural operations acting on double pants decompositions: flips and handle twists. It is shown in arXiv:1005.0073v2 that the groupoid generated by flips and h…

2010-08-22abs ↗pdf ↗

New study shows how model complexity affects test risk, challenging classical theory.

problem Understanding how test risk scales with model complexity for large over-parametrized deep networks.
method Developed norm-based capacity measures for random features based estimators, providing precise characterization of estimator's norm concentration and test error.
result Predicted learning curve shows a phase transition from under- to over-parameterization, confirming classical U-shaped behavior with appropriate capacity measures.