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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.

169,181 papers · 148 categories

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64128192256 · Jun 202019922001200920182026
48 results for arbitrary supports

New algorithm recovers dictionaries with arbitrary supports in polynomial time.

problem Learning dictionaries with arbitrary supports in polynomial time.
method Semirandom model with a mix of arbitrary and random supports; polynomial time algorithm.
result Polynomial time recovery of incoherent over-complete dictionaries with arbitrary supports.

Improved AMM protocol supports diverse loan maturities in DeFi.

problem Challenges in designing AMMs for fixed-income lending with time-related complexities.
method Generalized BondMM protocol to support arbitrary maturities.
result BondMM-A protocol demonstrates superior performance in interest rate stability and financial robustness.

Improved metric indexes support malware analysis by handling insertions and queries in real-time.

problem Handling insertions and queries in real-time for malware analysis.
method Modified and improved three algorithms to support incremental insertion and querying with arbitrary metrics.
result Improved Vantage-Point tree of Minimum-Variance performs best for this scenario.

Global Chern currents and Baum Bott currents defined on arbitrary complex manifolds.

problem Defining Chern classes and Baum Bott residues on complex manifolds without global resolutions.
method Combining Green's techniques with previous constructions to yield representatives of Chern classes and Baum Bott residues, using local resolutions and metrics.
result Transgression formula for the representatives, showing they differ by a current of the form dNdN.

Develops a new geometric framework for quantum metrics.

problem Quantum metric generalization for pure two-qubit states.
method Support-projected Petz monotone geometry for pure two-qubit families.
result Strictly generalizes SLD/Bures case and includes other metrics.

Flexible tree ensemble learning framework supports arbitrary loss functions and multi-task learning.

problem Limited modeling capabilities of existing tree ensemble learning toolkits.
method Differentiable tree ensembles with tensor-based formulation for efficient training.
result Our framework leads to 100x more compact and 23% more expressive tree ensembles.

New surfaces with special geodesic and horocycle behaviors discovered.

problem Understanding geodesic and horocycle dynamics on hyperbolic surfaces.
method Constructing geometrically infinite hyperbolic surfaces with tailored recurrence properties.
result First examples of non-trivial minimal horocyclic orbit closures and infinite locally-finite conservative horocyclic invariant measures.

Paper finds inequalities for eigenvalues of buckling problems on special metric spaces.

problem Eigenvalue inequalities for buckling problems of drifting Laplacian.
method Investigated on bounded domains in complete smooth metric measure spaces (SMMSs) with special functions.
result General inequalities for eigenvalues derived under curvature constraints.

We investigate the Berezin integral of non-compactly supported quantities. In the framework of supermanifolds with corners, we give a general, explicit and coordinate-free repesentation of the boundary terms introduced by an arbitrary change of variables. As a corollary, a general Stokes's theorem is derived - here, th…

2011-06-10abs ↗pdf ↗

The present paper develops two concepts of pointwise differentiability of higher order for arbitrary subsets of Euclidean space defined by comparing their distance functions to those of smooth submanifolds. Results include that differentials are Borel functions, higher order rectifiability of the set of differentiabili…

2016-03-28abs ↗pdf ↗

Quadratic differentials on Riemann surfaces uniquely determine foliations.

problem Understanding the relationship between quadratic differentials and foliations on Riemann surfaces.
method Extending prior results to arbitrary Fuchsian groups, analyzing measured foliations and their Dirichlet integrals.
result A finite-area holomorphic quadratic differential uniquely determines a horizontal foliation on a Riemann surface.

Unified framework for discrete diffusion modeling with flexible noising processes.

problem Efficient modeling of large discrete state spaces with arbitrary corruption dynamics.
method Generalized Discrete Diffusion from Snapshots (GDDS) framework that supports uniformization for fast noising and snapshot-based ELBO for reverse process.
result GDDS outperforms existing discrete diffusion methods in training efficiency and generation quality.

Global existence and convergence of pluriclosed flow on Oeljeklaus-Toma manifolds.

problem Global existence and convergence of pluriclosed flow on specific complex manifolds.
method Established global existence with arbitrary initial data and Gromov-Hausdorff convergence of blowdown limits.
result Gromov-Hausdorff convergence of blowdown limits to a torus under conjectural bounds.

A right-invariant metric ραρ_α on the compactly supported identity component Cont0(M,α)Cont_0(M,α) of the group of contactomorphisms of an arbitrary contact manifold (M,α)(M,α) is introduced in a similar way that the Hofer metric was defined on the group of Hamiltonian symplectomorphisms of a symplectic manifold. The restriction …

2012-02-27abs ↗pdf ↗

Paper proposes CIV estimator for categorical instruments in small sample settings.

problem Estimation with categorical instruments in settings with few observations per category.
method CIV estimator leveraging regularization assumption for latent categorical variable.
result CIV estimator is asymptotically normal, efficient, and semiparametrically efficient under homoskedasticity.

New graph operations for stochastic processes improve model flexibility.

problem Limited flexibility in graph convolutional networks for stochastic processes.
method Parameterization of graph-dependent linear operations using functional calculus.
result Improved learning flexibility and richer behaviors in graph models.

The Teichmüller harmonic map flow deforms both a map from an oriented closed surface MM into an arbitrary closed Riemannian manifold, and a constant curvature metric on MM, so as to reduce the energy of the map as quickly as possible [16]. The flow then tries to converge to a branched minimal immersion when it can [1…

2014-03-13abs ↗pdf ↗

We present in this work a new family of kernels to compare positive measures on arbitrary spaces $\Xcal$ endowed with a positive kernel κκ, which translates naturally into kernels between histograms or clouds of points. We first cover the case where $\Xcal$ is Euclidian, and focus on kernels which take into account th…

2009-09-07abs ↗pdf ↗

We consider active, semi-supervised learning in an offline transductive setting. We show that a previously proposed error bound for active learning on undirected weighted graphs can be generalized by replacing graph cut with an arbitrary symmetric submodular function. Arbitrary non-symmetric submodular functions can be…

2012-02-14abs ↗pdf ↗

We consider coupled nonholonomic LR systems on the product of Lie groups. As examples, we study nn-dimensional variants of the spherical support system and the rubber Chaplygin sphere. For a special choice of the inertia operator, it is proved that the rubber Chaplygin sphere, after reduction and a time reparametrizat…

2009-02-10abs ↗pdf ↗

We consider high dimensional sparse regression, and develop strategies able to deal with arbitrary -- possibly, severe or coordinated -- errors in the covariance matrix XX. These may come from corrupted data, persistent experimental errors, or malicious respondents in surveys/recommender systems, etc. Such non-stochas…

2013-01-12abs ↗pdf ↗

The main purposes of this article are to extend our previous results on homogeneous sprays to arbitrary (generalized) sprays, to show that locally diffeomorphic exponential maps can be defined for any (generalized) spray, and to give a (possibly nonlinear) covariant derivative for any (possibly nonlinear) connection. I…

2003-04-04abs ↗pdf ↗

Algorithm finds small confidence sets for arbitrary distributions.

problem Learning high-density regions in arbitrary distributions.
method Competitive with sets from a concept class with bounded VC-dimension.
result Algorithm finds a confidence set with volume exp(ildeO(d1/2))\exp( ilde{O}(d^{1/2})) competitive with optimal ball.

The study examines how hyperparameters affect prediction discrepancies in machine learning models.

problem Prediction inconsistencies across different machine learning models trained on the same dataset.
method Investigation of six models (Elastic Net, Decision Tree, k-NN, SVM, RF, XGBoost) on 21 benchmark datasets, focusing on key hyperparameters.
result Hyperparameter tuning improves model performance but increases prediction discrepancies, especially in Extreme Gradient Boosting.

Constrained Willmore surfaces are conformal immersions of Riemann surfaces that are critical points of the Willmore energy W=H2W=\int H^2 under compactly supported infinitesimal conformal variations. Examples include all constant mean curvature surfaces in space forms. In this paper we investigate more generally the crit…

2004-11-22abs ↗pdf ↗

An old conjecture of Durfee 1978 bounds the ratio of two basic invariants of complex isolated complete intersection surface singularities: the Milnor number and the singularity (or geometric) genus. We give a counterexample for the case of non-hypersurface complete intersections, and we formulate a weaker conjecture va…

2011-09-22abs ↗pdf ↗

Learning linear combinations of multiple kernels is an appealing strategy when the right choice of features is unknown. Previous approaches to multiple kernel learning (MKL) promote sparse kernel combinations to support interpretability and scalability. Unfortunately, this 1-norm MKL is rarely observed to outperform tr…

2010-02-27abs ↗pdf ↗

New methods predict drug interactions using drug co-medication patterns and graph matching.

problem Predicting adverse drug reactions from drug combinations.
method Developed novel kernels over drug combinations using support vector machines and graph matching to measure similarities.
result Achieved an AUC of 0.912 on a real-world dataset.

New method provides calibrated feature importance explanations for regression models.

problem Lack of uncertainty quantification in existing local explanation methods.
method Extension of Calibrated Explanations method to support regression and probabilistic regression.
result Calibrated Explanations for regression provides quantified uncertainty and robust explanations.

We describe explicit open books on arbitrary plumbings of oriented circle bundles over closed oriented surfaces. We show that, for a non-positive plumbing, the open book we construct is horizontal and the corresponding compatible contact structure is also horizontal and Stein fillable. In particular, we describe horizo…

2005-09-26abs ↗pdf ↗

We consider solutions to the linear wave equation gφ=0\Box_gφ=0 on a non-extremal maximally extended Schwarzschild-de Sitter spacetime arising from arbitrary smooth initial data prescribed on an arbitrary Cauchy hypersurface. (In particular, no symmetry is assumed on initial data, and the support of the solutions may con…

2007-09-18abs ↗pdf ↗

The generalization error of deep neural networks via their classification margin is studied in this work. Our approach is based on the Jacobian matrix of a deep neural network and can be applied to networks with arbitrary non-linearities and pooling layers, and to networks with different architectures such as feed forw…

2016-05-26abs ↗pdf ↗

The study proves properties of 4D projective manifolds and builds non-hyperbolic examples.

problem Characterizing and understanding geometric properties of 4D projective manifolds.
method Analyzing geometric decompositions and using properties of locally symmetric spaces.
result Closed, indecomposable 4D projective manifolds are either real hyperbolic or have real hyperbolic pieces.

Paper extends cohomology classes and holomorphic sections on subvarieties.

problem Tackles extension of cohomology classes and holomorphic sections on subvarieties.
method Uses quotient sheaves of multiplier ideal sheaves of quasi-plurisubharmonic functions.
result Provides positive answers to questions and generalizes existing L2L^2 extension theorems.

Bourgeois structures are tight in 5D and provide symplectic fillability obstructions.

problem Understanding the tightness and symplectic fillability of Bourgeois contact structures.
method Explicit construction and obstructions for symplectic fillings.
result Bourgeois structures are universally tight in 5D and provide obstructions in higher dimensions.