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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.

168,742 papers · 148 categories

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60119179238 · Jun 202019922001200920172026
48 results for linearly independent populations

Paper explores how unsupervised learning can be understood through linear algebra concepts.

problem Understanding unsupervised learning through linear algebra concepts.
method Introducing the concept of linearly independent populations and using them to solve for prevalence values.
result Unsupervised learning can be realized as a generalization of supervised learning.

Random column sampling is not guaranteed to yield data sketches that preserve the underlying structures of the data and may not sample sufficiently from less-populated data clusters. Also, adaptive sampling can often provide accurate low rank approximations, yet may fall short of producing descriptive data sketches, es…

2017-05-09abs ↗pdf ↗

Study on singular points of translation surfaces under linearly dependent conditions.

problem Investigate singular points of translation surfaces under linearly dependent conditions.
method Use theories of generalised framed surfaces and framed surfaces.
result Introduce translation generalised framed surfaces and investigate their singular points.

To each unit complex number with positive imaginary part there is defined a Tristram-Levine knot signature function. The set of all such signature functions is linearly independent as a set of functions defined on the set of all knots. The set of averaged signature functions forms a linearly independent set of homomoro…

2002-08-28abs ↗pdf ↗

Estimates Mozambique's population using remote sensing and microcensus data.

problem Lack of frequent population estimation due to censuses lacking spatio-temporal resolution.
method Combines remote sensing, microcensus data, and transfer learning with publicly available datasets.
result Population predictions improve with footprint area estimation using transfer learning.

The n-dimensional torus is uniquely characterized by specific harmonic forms.

problem Characterizing the n-dimensional torus via harmonic forms.
method Analyzing closed 1-forms on the torus to determine unique properties.
result The n-dimensional torus is the unique manifold supporting a linearly independent set of (n-1) closed 1-forms whose product determines a non-zero cohomological class.

Optimal strategy for A/B/n testing with control in stratified populations.

problem Discovering which arms have higher weighted expectation than the control in stratified populations.
method Sequentially choosing one arm per time step based on weighted subpopulation means.
result The strategy is asymptotically optimal, ensuring correct answers with high probability.

Study on complex line fields on almost-complex manifolds, proving existence conditions.

problem Existence of linearly independent complex line fields on almost-complex manifolds.
method Prove necessary and sufficient conditions for the existence of one, two, or three fields over certain manifolds.
result Necessary and sufficient condition for the existence of complex line fields over certain manifolds.

Policy mirror ascent achieves Nash equilibrium in mean field games without a population generative model.

problem Achieving Nash equilibrium in mean field games without a population generative model.
method Policy mirror ascent, contractive operator, single-path TD learning.
result Policy mirror ascent converges to Nash equilibrium within O~(ε2)\widetilde{\mathcal{O}}(\varepsilon^{-2}) samples.

The paper analyzes the maximum margin algorithm's performance on noisy data.

problem Analyzing the performance of maximum margin algorithm on noisy data.
method Finite-sample analysis of maximum margin algorithm applied to noisy data.
result The maximum margin algorithm can achieve nearly optimal population risk with sufficient over-parameterization.

In this paper we present the algorithms for calculating the differential geometric properties {t,n,b1,b2,b3,k1,k2,k3,k4} along-with geodesic curvature and geodesic torsion of the transversal intersection curve of four hypersurfaces (given by parametric representation) in Euclidean space R^5. In transversal intersection…

2016-01-17abs ↗pdf ↗

Study null conformal Killing vector fields on complex surfaces.

problem Characterize pseudo-Hermitian surfaces with null vector fields.
method Analyze topological types and use vector fields to define para-hyperhermitian structures.
result Classify compact four-manifolds with orthogonal null Killing vector fields.

New method estimates treatment effects across different populations.

problem Estimating treatment effects across populations with changing distributions.
method SBRL-HAP framework combining balancing and independence regularizers with hierarchical attention.
result Significant improvement in HTE estimation across out-of-distribution populations.

New bounds for KANs trained with DP-SGD, addressing correlated noise.

problem Risk bounds for Kolmogorov-Arnold Networks trained by DP-SGD with correlated noise.
method Established new optimization and population risk analysis for KANs trained with DP-SGD, addressing correlated noise.
result First optimization and population risk analysis of correlated-noise mechanisms for DP training in non-convex settings, including neural networks.

In this paper we construct an infinite family of knots with vanishing Upsilon invariant ΥΥ, although their secondary Upsilon invariants Υ2Υ^2 show that they are linearly independent in the smooth knot concordance group. We also prove a conjecture in a paper by Allen.

2018-05-23abs ↗pdf ↗

For a topological space XX we study continuous maps f:XRmf : X\to \mathbb R^m such that images of every pairwise distinct kk points are affinely (linearly) independent. Such maps are called affinely (linearly) kk-regular embeddings. We investigate the cohomology obstructions to existence of regular embeddings and give …

2010-06-03abs ↗pdf ↗

Randomly initialized neural networks can linearly separate arbitrary sets.

problem Mapping two arbitrary sets to linearly separable sets.
method Randomly initialized one-layer neural networks with sufficient width.
result With high probability, these networks can transform two sets into linearly separable sets.

The purpose of this paper is to both survey and offer some new results on the non-triviality of the characteristic classes of Riemannian foliations. We give examples where the primary Pontrjagin classes are all linearly independent. The independence of the secondary classes is also discussed, along with their total var…

2008-06-22abs ↗pdf ↗

Study shows income inequality increases with city size, affecting only the wealthiest deciles.

problem Understanding income inequality in urban areas.
method Urban scaling analysis of total income scaling in population percentiles.
result Income in the poorest decile does not increase with city size, while the wealthiest deciles show superlinear scaling.

Given samples from a distribution, how many new elements should we expect to find if we continue sampling this distribution? This is an important and actively studied problem, with many applications ranging from unseen species estimation to genomics. We generalize this extrapolation and related unseen estimation proble…

2017-07-12abs ↗pdf ↗

We consider the problem of community detection or clustering in the labeled Stochastic Block Model (LSBM) with a finite number KK of clusters of sizes linearly growing with the global population of items nn. Every pair of items is labeled independently at random, and label \ell appears with probability $p(i,j,\ell)…

2015-10-20abs ↗pdf ↗

In this paper we study null Bertrand curves in R14R_{1}^{4} under the assumption the curve has a Cartan frame. We show that if the derivative vectors of the null Cartan curve in R14R_{1}^{4} is linearly independent, then this curve is not a Bertrand curve. Since then the already known notion of null Bertrand curves in $R…

2011-01-31abs ↗pdf ↗

Study satellite operators expanding concordance groups and their applications.

problem Understanding satellite operators and their impact on concordance groups.
method Floer-theoretic methods to analyze satellite operators and their effects on concordance groups.
result Established a Floer-theoretic condition for infinite-rank images of companion knots under satellite operators.

Combining known spectral sequences with a new spectral sequence relating reduced and unreduced sl(N)-homology yields a relationship between the Homflypt-homology of a knot and its sl(N)-concordance invariants. As an application, some of the sl(N)-concordance invariants are shown to be linearly independent.

2013-10-11abs ↗pdf ↗

In this paper we prove that the Casson-Gordon invariants of the connected sum of two knots split when the Alexander polynomials of the knots are coprime. As one application, for any knot K, all but finitely many algebraically slice twisted doubles of K are linearly independent in the knot concordance group.

2001-02-15abs ↗pdf ↗

Developing a scientific understanding of cities in a fast urbanizing world is essential for planning sustainable urban systems. Recently, it was shown that income and wealth creation follow increasing returns, scaling superlinearly with city size. We study scaling of per capita incomes for separate census defined incom…

2015-09-03abs ↗pdf ↗

Bayesian method infers local rules for collective animal movement.

problem Learn local rules governing long-term group behaviors.
method Bayesian Inverse Reinforcement Learning with Linearly-Solvable Markov Decision Process.
result Recover true costs and find value of collective movement.

New method tests CMI using deep neural networks for high-dimensional data.

problem Testing conditional mean independence in high-dimensional settings.
method Population CMI measure and bootstrap-based testing with deep generative neural networks.
result Strong empirical performance and versatility in various scenarios.

We show that if the connected sum of two knots with coprime Alexander polynomials has vanishing von Neumann rho-invariants associated with certain metabelian representations then so do both knots. As an application, we give a new example of an infinite family of knots which are linearly independent in the knot concorda…

2007-10-10abs ↗pdf ↗

USP test improves on Pearson's chi-squared and GG-test for independence.

problem Deficiencies in Pearson's chi-squared and GG-test for independence.
method USP test based on UU-statistic estimator of population dependence measure.
result USP test controls size, handles small cell counts, and detects minimal violations of independence.

We give simple homological conditions for a rational homology 3-sphere Y to have infinite order in the rational homology cobordism group, and for a collection of rational homology spheres to be linearly independent. These translate immediately to statements about knot concordance when Y is the branched double cover of …

2018-03-21abs ↗pdf ↗