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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.

168,982 papers · 148 categories

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48 results for reference products

This work extends entropic optimal transport to non-product reference couplings, focusing on Gaussian cases.

problem Finding a diffuse coupling between two measures with non-product reference couplings.
method Reduction of the entropic optimal transport problem to a matrix optimization problem.
result Complete description of the solution for non-product reference couplings, including primal and dual variables.

CDLF predicts product life-cycles in cold-start phases with high accuracy.

problem Forecasting new products in early phases when data is scarce.
method Conditional Diffusion Life-cycle Forecaster (CDLF) combining static descriptors, reference trajectories, and new observations.
result CDLF outperforms classical models in accuracy and probabilistic forecasting.

Quality-designed consumer products are easy to recognize. Wouldn't it be great if the quality of financial products became just as apparent? This paper is addressed to financial practitioners. It provides an informal introduction to Quantitative Structuring -- a technology of manufacturing quality financial products (i…

2015-07-26abs ↗pdf ↗

In this paper, we bound the error induced by using a weighted skeletonization of two data sets for computing a two sample test with kernel maximum mean discrepancy. The error is quantified in terms of the speed in which heat diffuses from those points to the rest of the data, as well as how at the weights on the refere…

2018-12-11abs ↗pdf ↗

The warped product N1×fN2N_1\times_f N_2 of two Riemannian manifolds (N1,g1)(N_1,g_1) and (N2,g2)(N_2,g_2) is the product manifold N1×N2N_1\times N_2 equipped with the warped product metric g=g1+f2g2g=g_1+f^2 g_2, where ff is a positive function on N1N_1. The notion of warped product manifolds is one of the most fruitful generalizations of R…

2013-06-30abs ↗pdf ↗

Paper explores existence and nonexistence of submanifolds in contact geometry.

problem Existence and nonexistence of warped product submanifolds in almost contact manifolds.
method Generalizes results for existence and nonexistence, constructs examples, addresses open problems.
result Offers decisive results for existence and nonexistence of submanifolds.

The study introduces a new curvature concept for weighted graphs and applies it to warped products.

problem Establishing curvature bounds for doubly warped product graphs.
method Developed a new notion of curvature for weighted graphs and applied it to warped products, establishing bounds in terms of constituent graph curvatures.
result Established curvature bounds for $\left(R_1,R_2 ight)$-doubly warped products of smooth measure spaces.

In this paper we study the pricing and hedging problem of a portfolio of life insurance products under the benchmark approach, where the reference market is modelled as driven by a state variable following a polynomial diffusion on a compact state space. Such a model guarantees not only the positivity of the OIS short …

2016-02-25abs ↗pdf ↗

Study of Gaussian distributions using entropic Gromov-Wasserstein and inner product Gromov-Wasserstein.

problem Optimal transportation between Gaussian distributions with different dimensions.
method Entropic Gromov-Wasserstein and inner product Gromov-Wasserstein, with closed-form expressions and von Neumann's trace inequality.
result Closed-form expressions for the entropic IGW and its unbalanced variant between Gaussian distributions.

Let B_n be the braid group on n strands, with n at least 4, and let Mod(S) be the extended mapping class group of the sphere with n+1 punctures. We show that the abstract commensurator of B_n is isomorphic to a semidirect product of Mod(S) with a group we refer to as the transvection subgroup, Tv(B_n). We also show tha…

2005-01-26abs ↗pdf ↗

The paper uses machine learning to optimize rework policies in semiconductor manufacturing.

problem Optimizing rework steps to increase yield without increasing costs.
method Applied double/debiased machine learning (DML) to estimate treatment effects.
result Derived optimal rework policies and estimated their value empirically.

We will obtain the warped product decompositions of spaces of constant curvature (with arbitrary signature) in their natural models as subsets of pseudo-Euclidean space. This generalizes the corresponding result by S. Nolker to arbitrary signatures, and has a similar level of detail. Although our derivation is complete…

2014-04-09abs ↗pdf ↗

Revisits neural collaborative filtering vs. matrix factorization, showing dot product superiority.

problem Comparing neural collaborative filtering to matrix factorization in recommendation systems.
method Revisited experiments using MLPs as similarity functions, comparing dot product to MLP outputs.
result Simple dot product outperforms MLP-based learned similarities in practical settings.

KoPA approximates matrices using Kronecker products for better flexibility.

problem Matrix approximation and denoising with Kronecker product decomposition.
method Approximate a matrix as a sum of Kronecker products of smaller matrices using extended information criteria for configuration selection.
result KoPA selects the true configuration with high probability under suitable conditions.

In current paper we refer to the geometrical classification of the Einstein equations which has been developed by one of the authors of this paper. This classification was based on the classical theory for decomposition of the tensor product of representations into irreducible components, which is studied in the elemen…

2010-01-26abs ↗pdf ↗

Adverts optimize organic traffic by strategically bidding in e-commerce feeds.

problem Maximizing organic traffic through strategic advertising in e-commerce feeds.
method Proposes a novel Leverage optimization problem and a Hybrid Training Leverage Bidding (HTLB) algorithm to optimize traffic.
result Demonstrates superior performance of the HTLB algorithm in optimizing organic traffic.

In this paper we construct a non-skewsymmetric version of a Poisson bracket on the algebra of smooth functions on an odd Jacobi supermanifold. We refer to such Poisson-like brackets as Loday-Poisson brackets. We examine the relations between the Hamiltonian vector fields with respect to both the odd Jacobi structure an…

2013-01-21abs ↗pdf ↗

HierarchicalForecast provides a Python framework for coherent hierarchical forecasting.

problem Ensuring forecasts at disaggregate levels add up to aggregate forecasts.
method Preprocessed datasets, evaluation metrics, and statistical baseline models.
result Python-based reference framework for statistical and ML forecasting.

A centered innovation MA is equivalent to a digamma-link DARMA for bank-asset shares.

problem Predicting bank-asset shares using Bayesian Dirichlet ARMA models.
method Replacing raw additive log-ratio residuals with centered innovations in B--DARMA.
result Centered specification and digamma-link DARMA are predictively equivalent under specified conditions.

Higher-dimensional Milnor frames are characterized and contrasted with 3D Heisenberg and 4D nilpotent Lie algebras.

problem Characterizing higher-dimensional Milnor frames and their properties.
method Definition and classification of higher-dimensional Milnor frames and their relationship to known Lie algebras.
result Higher-dimensional Milnor frames are isomorphic to direct sums of 3D Heisenberg and 4D nilpotent Lie algebras and an abelian Lie algebra.

We study the theoretical properties of learning a dictionary from NN signals xiRK\mathbf x_i\in \mathbb R^K for i=1,...,Ni=1,...,N via l1l_1-minimization. We assume that xi\mathbf x_i's are i.i.d.i.i.d. random linear combinations of the KK columns from a complete (i.e., square and invertible) reference dictionary $\mathbf D_0 \in…

2015-05-17abs ↗pdf ↗

Unified sampling approach for Bayesian imaging problems.

problem Sampling from complex prior and posterior distributions in Bayesian imaging.
method Gaussian latent machine model for efficient prior and posterior sampling.
result Unified and generalized sampling algorithms for various imaging problems.

Low-density parity-check codes, a class of capacity-approaching linear codes, are particularly recognized for their efficient decoding scheme. The decoding scheme, known as the sum-product, is an iterative algorithm consisting of passing messages between variable and check nodes of the factor graph. The sum-product alg…

2014-05-25abs ↗pdf ↗

Geometric variations of objects, which do not modify the object class, pose a major challenge for object recognition. These variations could be rigid as well as non-rigid transformations. In this paper, we design a framework for training deformable classifiers, where latent transformation variables are introduced, and …

2017-12-18abs ↗pdf ↗

The study finds a time lag effect in FDI-GDP correlations, with significant statistical significance.

problem The relationship between FDI and GDP growth is not immediate.
method Time-dependent Pearson correlation coefficient matrix analysis of 43 countries' data from 1970-2015.
result The correlation between FDI and GDP growth is time-lagged, evolving from positive to negative as inequality-adjusted human development index increases.