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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.

169,341 papers · 148 categories

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48 results for reciprocal clustering

The paper introduces admissible hierarchical clustering methods for asymmetric networks.

problem Characterizing and implementing hierarchical clustering methods for asymmetric networks.
method The paper characterizes admissible hierarchical clustering methods and proposes algorithms for their implementation.
result The paper describes three families of intermediate methods for admissible hierarchical clustering of asymmetric networks.

A new hierarchical clustering method selects representative points from sub-minimum-spanning-trees.

problem Selecting representative points for hierarchical clustering to improve robustness and reliability.
method Identify representative points using reciprocal nearest data points in sub-minimum-spanning-trees.
result The proposed algorithm outperforms other methods in accuracy and efficiency.

New knot invariants derived using quantum cluster algebras.

problem Deriving new knot invariants from quantum cluster algebras.
method Interpreting RR-matrix of Uq(sl2)U_q(\mathfrak{sl}_2) as cluster transformation, introducing auxiliary parameter εε.
result Derives perturbed-Alexander invariants with higher-order terms in εε.

This paper introduces belief propagation for Gaussian reciprocal processes and links it to stability theory.

problem Efficient inference algorithms for reciprocal processes, especially those with a single loop network.
method Introduces belief propagation for Gaussian reciprocal processes and links it to stability theory.
result Established a link between convergence analysis of belief propagation for Gaussian reciprocal processes and stability theory for differentially positive systems.

Estimates growth of reciprocal classes in Hecke groups.

problem Estimating the growth of reciprocal conjugacy classes in Hecke groups.
method Using free product structure and word lengths of reciprocal elements, with tools from basic probability theory.
result Estimates the asymptotic growth of reciprocal conjugacy classes in Hecke groups.

Paper models reciprocal processes using probabilistic graphical models.

problem Modeling acausal generalizations of Markov processes.
method Probabilistic graphical models for reciprocal processes, message passing algorithms for smoothing.
result Provides a principled solution to the smoothing problem.

The study calculates the growth rate of reciprocal hyperbolic elements in Hecke groups.

problem Counting reciprocal hyperbolic elements in Hecke groups.
method Analyzes conjugacy classes of hyperbolic elements associated with reciprocal geodesics.
result Determines the asymptotic growth rate and limiting constant of primitive conjugacy classes of reciprocal hyperbolic elements.

New combinatorial method connects knot invariants to reflection groups.

problem Computing knot invariants using combinatorial techniques.
method Relating dual braid group generators, Hecke images of pure braids, and reflection groups.
result The (a,z=0)(a,z=0)-HOMFLYPT polynomial can be computed as a solution to factorization problems.

The paper models reciprocity in interbank markets using a statistical null model.

problem Understanding the importance of individual banks in financial networks.
method Developed an exponential random graph model to account for reciprocal links on both topological and weighted levels.
result Weighted reciprocity in interbank markets is more significant than network size and volume before the financial crisis.

New method reconstructs interbank networks enforcing reciprocity to improve stability and risk prediction.

problem Lack of public interbank network data and difficulty in replicating cycles.
method Proposes a new network reconstruction method enforcing sparsity and link reciprocity from aggregate data.
result Adding reciprocity improves prediction of network properties, including largest real eigenvalue and eccentricity of eigenvalues.

Study geodesics entering a fixed cusp neighborhood multiple times.

problem Understanding geodesics entering a specific cusp neighborhood multiple times.
method Investigate reciprocal geodesics entering a fixed cusp neighborhood a fixed number of times.
result Characterized the class of reciprocal geodesics entering a fixed cusp neighborhood a fixed number of times.

The paper proves generalization bounds and stopping rules for self-selected data in reciprocal learning.

problem Generalization of learning algorithms using self-selected data.
method Proves universal generalization bounds using covering numbers and Wasserstein ambiguity sets.
result Provides stopping rules for reciprocal learning algorithms to ensure out-of-sample performance.

Given a knot and an SL(n,C) representation of its group that is conjugate to its dual, the representation that replaces each matrix with its inverse-transpose, the associated twisted Reidemeister torsion is reciprocal. An example is given of a knot group and SL(3,Z) representation that is not conjugate to its dual for …

2009-05-15abs ↗pdf ↗

Study on 3D foliated dynamical systems with Hilbert reciprocity law.

problem Understanding and classifying 3D foliated dynamical systems.
method Decomposition theorem, concrete examples construction, integration theory for smooth Deligne cohomology.
result Introduction of geometric Hilbert reciprocity law for 3D FDS.

We prove a reciprocity formula between Gauss sums that is used in the computation of certain quantum invariants of 3-manifolds. Our proof uses the discriminant construction applied to the tensor product of lattices.

2005-12-02abs ↗pdf ↗

Efficient algorithm uncovers mutual interests in reciprocal recommendation.

problem Learning to recommend users based on mutual interests in a sequential learning framework.
method Formulated assumptions and designed a computationally efficient algorithm.
result Algorithm uncovers mutual likes at a pace comparable to a clearvoyant algorithm.

Novel network models capture social interaction features like reciprocity and community.

problem Modeling temporal social interaction data with reciprocity and community structure.
method Self-exciting Hawkes point processes with conditional intensity function.
result Proposed model outperforms competing approaches for link prediction.

The study examines the growth of reciprocal classes in Hecke groups, proving an asymptotic formula.

problem Analyzing the growth of reciprocal classes in Hecke groups.
method Utilizes the free product structure of Hecke groups, combinatorial counting, and recurrence relations.
result Proves an asymptotic formula for the number of reciprocal classes in Hecke groups.

Paper tackles division difficulty, proposing new methods to improve accuracy.

problem Division is the most challenging arithmetic operation for both humans and computers.
method Proposes two novel approaches: Neural Reciprocal Unit (NRU) and Neural Multiplicative Reciprocal Unit (NMRU), and improves an existing division module.
result Improves division accuracy from 70.2% to 91.6%.

FlexCMH learns effective hashing codes from weakly-paired data.

problem Cross-modal hashing assumes perfect correspondence between samples, which is unrealistic.
method FlexCMH uses clustering-based matching to find potential correspondence and jointly optimizes it with hashing functions.
result FlexCMH achieves significantly better results than state-of-the-art methods.

New model accounts for scale variation and noise in pairwise comparisons.

problem Nonreciprocal pairwise comparisons in decision analysis.
method Additive model with structured matrix and random perturbation.
result Explicit estimators and probability assessments of admissible ranking regions.

New model for clustering dependent community Hawkes processes in temporal networks.

problem Modeling strong dependence and community structure in temporal networks.
method Dependent Community Hawkes (DCH) models combining stochastic block models and Hawkes processes.
result Spectral clustering error bound derived for DCH models.

Empirical study shows carriers ignore past shippers' behavior, focusing only on current actions.

problem Opportunistic behavior by shippers and carriers in dynamic freight markets.
method Empirical analysis of carrier reciprocity in US truckload transportation sector.
result Carriers do not remember shippers' past behaviors but respond to current actions.

Study how past eon's matter affects present eon in Penrose's cyclic cosmology.

problem Determining present eon's matter content from past eon's matter.
method Use Penrose's reciprocity hypothesis to link past and present eons' matter.
result Perfect fluid matter content of past eon influences present eon's matter content.

This article investigates local properties of the further generalized Weierstrass relations for a spin manifold SS immersed in a higher dimensional spin manifold MM from viewpoint of study of submanifold quantum mechanics. We show that kernel of a certain Dirac operator defined over SS, which we call submanifold Dir…

2006-05-10abs ↗pdf ↗

Schrödinger and Onsager's ideas linked in nonequilibrium thermodynamics.

problem Linking Schrödinger's variational problem with Onsager's nonequilibrium statistical mechanics.
method Analyzing the historical context and comparing the two approaches.
result Schrödinger's ideas have not yet been fully integrated into the classical context of Onsager's work.

Motivated by applications of large-scale graph clustering, we study random-walk-based LOCAL algorithms whose running times depend only on the size of the output cluster, rather than the entire graph. All previously known such algorithms guarantee an output conductance of O~(φ(A))\tilde{O}(\sqrt{φ(A)}) when the target set AA

2013-04-30abs ↗pdf ↗

Legendre transformations link related integrable hierarchies.

problem Understanding relationships between integrable hierarchies.
method Legendre-type transformations of generalized Frobenius manifolds.
result Linear reciprocal transformations link related hierarchies.

Local classification of quasilinear systems with linearizable characteristic webs.

problem Classifying quasilinear systems with linearizable characteristic webs.
method Reciprocal transformations to uncoupled Hopf equations.
result Every quasilinear system with n>3 components can be transformed to n uncoupled Hopf equations.

This paper argues that the fundamental principle of contemporary financial economics is balanced reciprocity, not the principle of utility maximisation that is important in economics more generally. The argument is developed by analysing the mathematical Fundamental Theory of Asset Pricing with reference to the emergen…

2013-10-10abs ↗pdf ↗