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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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12243547 · May 202619922001200920172026
48 results for rectangle persistence

In this paper, we define the rectangle condition on the bridge sphere for a nn-bridge decomposition of a knot whose definition is analogous to the definition of the rectangle condition for Heegaard splittings of 33-manifolds. We show that the satisfaction of the rectangle condition for a nn-bridge decomposition can …

2014-04-28abs ↗pdf ↗

Optimal weight windows are symmetric rectangles centered at peak.

problem Finding the best weight windows for weighted least squares.
method Investigated symmetric and tapered rectangle window weights, showing the best rectangle window is optimal.
result The best rectangle window is optimal for all tapered rectangle window definitions.

The paper improves bounds on how many squares can fit in a rectangle and still have stable homology.

problem Homological stability in the space direction of square configurations.
method Analyzing the ordered configuration space of squares in a rectangle.
result Most rectangles can be almost entirely filled with squares and still have stable homology.

A new ensemble model uses simple hyper-rectangles to improve gradient boosting machine performance.

problem Improving gradient boosting machine performance and avoiding overfitting.
method Proposes a new ensemble model with axis-parallel hyper-rectangles as base models, integrates into GBM, and uses SHAP for interpretation.
result GBM with HRBMs can be an effective and interpretable model for regression and classification problems.

Study on non-orientable surfaces and inscribed rectangles in 4-manifolds.

problem Understanding non-orientable surfaces and their inscribed rectangles.
method Analyzing smooth and locally-flat non-orientable surfaces in 4-ball with specific knots, comparing results.
result Established differences between smooth and locally-flat non-orientable 4-genus of torus knots.

In this paper we show that for a given 3-manifold and a given Heegaard splitting there are finitely many preferred decomposing systems of 3g33g - 3 disjoint essential disks. These are characterized by a combinatorial criterion which is a slight strengthening of Casson-Gordon's rectangle condition. This is in contrast to…

2002-11-18abs ↗pdf ↗

We give the rectangle condition for strong irreducibility of Heegaard splittings of 33-manifolds with non-empty boundary. We apply this to a generalized Heegaard splitting of a 22-fold covering of S3S^3 branched along a link. The condition implies that any thin meridional level surface in the link complement is incom…

2010-07-15abs ↗pdf ↗

This thesis classifies pseudo-Anosov homeomorphisms using geometric Markov partitions.

problem Classifying pseudo-Anosov homeomorphisms up to topological conjugacy.
method Algorithmic approach using geometric Markov partitions.
result Geometric type is a complete invariant of conjugation.

Study finds a limiting distribution for free path lengths on flat surfaces with circular obstacles.

problem Understanding free path lengths on flat surfaces with circular obstacles.
method Proved the existence of a limiting distribution using radius of obstacles as a parameter.
result Relates the limiting distribution to heights of zippered rectangle decompositions.

We prove that a bounded open set U in Euclidean n-space has k-width less than C(n) Volume(U)^{k/n}. Using this estimate, we give lower bounds for the k-dilation of degree 1 maps between certain domains in Euclidean space. In particular, we estimate the smallest (n-1)-dilation of any degree 1 map between two n-dimension…

2006-09-20abs ↗pdf ↗

We develop a recursive formula for counting the number of rectangulations of a square, i.e the number of combinatorially distinct tilings of a square by rectangles. Our formula specializes to give a formula counting generic rectangulations, as analyzed by Reading in [5]. Our computations agree with [5] as far as was ca…

2012-04-25abs ↗pdf ↗

Given i.i.d samples from some unknown continuous density on hyper-rectangle [0,1]d[0, 1]^d, we attempt to learn a piecewise constant function that approximates this underlying density non-parametrically. Our density estimate is defined on a binary split of [0,1]d[0, 1]^d and built up sequentially according to discrepancy crite…

2015-09-23abs ↗pdf ↗

Classifies LL-space surgeries on all two-bridge links

problem Classifying LL-space surgeries on two-bridge links
method Introduces a sufficient diagrammatic condition for links in S3S^3 to be persistently foliar, defines a simplified model for Heegaard Floer homology, and uses Turaev torsions for computations
result Determines LL-space surgeries in the case of generalised LL-space links

Classifies essential annuli in genus two handlebody-knots, determining hyperbolicity and constructing obstructions.

problem Classifying essential annuli in genus two handlebody-knots.
method Introducing τ- and ρ-tangles and good rectangles, classifying these structures.
result Categorization of atoroidal 3-decomposable genus two handlebody-knots based on essential annuli.

Casson and Gordon gave the rectangle condition for strong irreducibility of Heegaard splittings [1]. We give a parity condition for irreducibility of Heegaard splittings of irreducible manifolds. As an application, we give examples of non-stabilized Heegaard splittings by doing a single Dehn twist.

2008-12-01abs ↗pdf ↗

ARGEN method improves variable selection and regularization in high-dimensional sparse models.

problem Constrained variable selection and regularization in high-dimensional sparse linear models.
method ARGEN penalty method, variable selection and regularization.
result ARGEN method has variable selection and estimation consistency under certain conditions.

Let RR be a compact, connected, orientable surface of genus gg with nn boundary components with g2g \geq 2, n0n \geq 0. Let N(R)\mathcal{N}(R) be the nonseparating curve graph, C(R)\mathcal{C}(R) be the curve graph and HT(R)\mathcal{HT}(R) be the Hatcher-Thurston graph of RR. We prove that if $λ: \mathcal{N}(R) \rightarro…

2017-08-15abs ↗pdf ↗

Persistence landscapes map persistence diagrams into a function space, which may often be taken to be a Banach space or even a Hilbert space. In the latter case, it is a feature map and there is an associated kernel. The main advantage of this summary is that it allows one to apply tools from statistics and machine lea…

2018-10-11abs ↗pdf ↗

Proposes adaptive ridge regression for functional linear models with piecewise shapes.

problem Functional linear regression with unknown coefficient function.
method Adaptive piecewise function template with L2L_2 penalization.
result Improves predictive power and interpretability compared to standard methods.

Proposes deep graph persistence to address neural persistence issues in deep learning.

problem Variance of weights and lack of spatial structure in deep neural networks impact neural persistence.
method Extends neural persistence to the whole network, considering interactions between layers.
result Deep graph persistence alleviates variance-related issues and captures persistent paths through the network.

Using zippered rectangle coordinates we parametrize a Poincaré section for horocycle flow on the space of genus 2 translation surfaces with one singular cone point of angle 6π. In addition, we bound the return time under horocycle flow to this Poincaré section by examining a subset of surfaces where a certain sum of …

2016-07-19abs ↗pdf ↗

This paper demonstrates the flaws of co-persistence theory proposed by Bollerslev and Engle (1993) which cause the theory can hardly be applied. With the introduction of the half-life of decay coefficient as the measure of the persistence, and both the weak definition of persistence and co-persistence in variance, this…

2011-12-06abs ↗pdf ↗

Optimizes wavelets for graph classification using spectral wavelet signatures and persistence diagrams.

problem Graph classification with geometric properties encoded in persistence diagrams.
method Optimizes spectral wavelets for graph datasets to capture best-suited features for classification.
result Competitive performance in graph classification problems compared to other persistence-based architectures.

This paper interprets critical scales in persistent homology for compact metric spaces.

problem Understanding critical scales in persistent homology for general compact metric spaces.
method Analyzing local minima of the distance function and their impact on persistence.
result Each decrease in zero-dimensional persistence and increase in one-dimensional persistence is induced by local minima of the distance function.

We consider the problem of learning a sparse rule model, a prediction model in the form of a sparse linear combination of rules, where a rule is an indicator function defined over a hyper-rectangle in the input space. Since the number of all possible such rules is extremely large, it has been computationally intractabl…

2018-10-03abs ↗pdf ↗

MuRiT efficiently computes multi-parameter persistence barcodes.

problem Efficient computation of multi-parameter persistent homology.
method Vietoris-Rips transformation to reduce multi-parameter to single-parameter computation.
result MuRiT computes pathwise persistence barcodes for multi-filtered flag complexes.

This article analyzes the relationship between co-persistence and hedging which indicates co-persistence ratio is just the long-term hedging ratio. The new method of exhaustive search algorithm for deriving co-persistence ratio is derived in the article. And we also develop a new hedging strategy of combining co-persis…

2011-12-17abs ↗pdf ↗