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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.

168,695 papers · 148 categories

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108215323430 · Jun 202019922001200920172026
48 results for weak separation property

One approach to monitoring a dynamic system relies on decomposition of the system into weakly interacting subsystems. An earlier paper introduced a notion of weak interaction called separability, and showed that it leads to exact propagation of marginals for prediction. This paper addresses two questions left open by t…

2012-06-27abs ↗pdf ↗

Garside groupoids, as recently introduced by Krammer, generalise Garside groups. A weak Garside group is a group that is equivalent as a category to a Garside groupoid. We show that any periodic loop in a Garside groupoid $\CG$ may be viewed as a Garside element for a certain Garside structure on another Garside groupo…

2006-10-26abs ↗pdf ↗

We extend a recently proposed 1-nearest-neighbor based multiclass learning algorithm and prove that our modification is universally strongly Bayes-consistent in all metric spaces admitting any such learner, making it an "optimistically universal" Bayes-consistent learner. This is the first learning algorithm known to e…

2019-06-24abs ↗pdf ↗

Reduces connectivity problem for genus-4 Heegaard surface in 3-sphere.

problem Connectivity problem in reducing sphere complex for genus-4 Heegaard surface.
method Presented a sufficient condition for a non-separating weak reducing pair to be separated by a reducing sphere.
result Reduced connectivity problem to showing disjointness of representative reducing spheres from a fixed disk.

Study on self-similar sets on Riemannian manifolds with new separation conditions.

problem Analyzing self-similar sets on Riemannian manifolds with new separation conditions.
method Formulated weak separation and finite type conditions for conformal iterated function systems on Riemannian manifolds.
result Obtained formulas for Hausdorff dimensions of self-similar and graph self-similar sets.

A recent result of Papadakis-Petrotou shows that every simplicial sphere has the weak Lefschetz property in characteristic 22. In this paper, we give a simpler proof of this result for PL-spheres by showing that the weak Lefschetz property in characteristic 22 is preserved by bistellar moves. Several applications are…

2020-01-18abs ↗pdf ↗

We study the approximation properties of random ReLU features through their reproducing kernel Hilbert space (RKHS). We first prove a universality theorem for the RKHS induced by random features whose feature maps are of the form of nodes in neural networks. The universality result implies that the random ReLU features…

2018-10-10abs ↗pdf ↗

Posterior regularization enhances Bayesian hierarchical mixture clustering by improving node separation.

problem High nodal variance in BHMC trees, leading to weak separation between nodes at higher levels.
method Employing Posterior Regularization to impose max-margin constraints on nodes at every level.
result Improves cluster separation in BHMC models, enhancing overall model performance.

Paper investigates conditions for independence of weak gradients on metric spaces.

problem Dependence of weak gradients on pp in arbitrary metric measure spaces.
method Investigates the Bounded Interpolation Property to ensure independence of weak gradients.
result Bounded Interpolation Property guarantees independence of weak gradients.

We discuss general notions of metrics and of Finsler structures which we call weak metrics and weak Finsler structures. Any convex domain carries a canonical weak Finsler structure, which we call its tautological weak Finsler structure. We compute distances in the tautological weak Finsler structure of a domain and we …

2008-04-04abs ↗pdf ↗

The space of Sobolev connections, as it has been introduced for studying the variation of Yang-Mills Lagrangian in the critical dimension 44, happens not to be weakly sequentially complete in dimension larger than 44. This is a major obstruction for studying the variations of this important Lagrangian in high dimensi…

2018-12-11abs ↗pdf ↗

End-to-end approach for weak supervision improves downstream model performance.

problem Data-labeling bottleneck in machine learning applications.
method Directly learning the downstream model by maximizing its agreement with probabilistic labels generated from weak supervision sources.
result Improved performance over prior work in terms of downstream model performance and robustness.

Weak dual pairs defined in Dirac-Jacobi geometry, proving equivalence and leaf correspondence theorems.

problem Defining and studying weak dual pairs in Dirac-Jacobi structures.
method Adopting omni-Lie algebroid approach, proving equivalence and leaf correspondence theorems.
result Existence of self-dual pairs and alternative proof of normal form theorem.

Gradient descent on shallow neural networks achieves near-optimal generalization error.

problem Optimizing shallow neural networks with minimal width for generalization and stability.
method Gradient descent in the interpolating regime with minimal width.
result Gradient descent achieves near-optimal generalization error with minimal width.

We define the notion of weak Minkowski metric and prove some basic properties of such metrics. We also highlight some of the important analogies between Minkowski geometry and the Funk and Hilbert geometries.

2013-10-31abs ↗pdf ↗

Deep networks can learn functions approximated by shallow networks, but not all functions.

problem The learnability of functions by deep neural networks and the approximation capacity of simpler classes.
method Study the connection between learnability and approximation capacity of functions by deep neural networks and simpler classes.
result A necessary condition for a function to be learnable by deep neural networks is to be approximable by shallow networks.

New method improves submodular maximization for machine learning applications.

problem Inexact monotonicity in submodular functions limits traditional algorithms' performance.
method Introduces monotonicity ratio as a continuous version of monotonicity, leading to improved approximation guarantees.
result Improved approximation ratios for movie recommendation, quadratic programming, and image summarization.

In the Compressed Sensing community, it is well known that given a matrix XRn×pX \in \mathbb R^{n\times p} with 2\ell_2 normalized columns, the Restricted Isometry Property (RIP) implies the Null Space Property (NSP). It is also well known that a small Coherence μμ implies a weak RIP, i.e. the singular values of XTX_T l…

2016-06-29abs ↗pdf ↗

The study explores new metric structures on manifolds, linking them to Einstein metrics.

problem Characterizing and understanding weak K-contact manifolds and their properties.
method Analyzing weak K-contact manifolds and their properties, including the parallel Ricci tensor and generalized Ricci soliton structures.
result Sufficient conditions for weak K-contact manifolds with specific properties to be Einstein manifolds.

We recall the Chernoff-Marsden definition of weak symplectic structure and give a rigorous treatment of the functional analysis and geometry of weak symplectic Banach spaces. We define the Maslov index of a continuous path of Fredholm pairs of Lagrangian subspaces in continuously varying Banach spaces. We derive basic …

2013-01-30abs ↗pdf ↗

We give a simple proof of weak Unique Continuation Property for perturbed Dirac operators, using the Carleman inequality. We apply the result to a class of perturbations of the Seiberg-Witten monopole equations that arise in Floer theory.

2002-03-18abs ↗pdf ↗

Tight geodesics were introduced by Masur-Minsky in [17]. They and their hierarchies have been a powerful tool in the study of the curve complex, mapping class groups, Teichmüller spaces, and hyperbolic 3-manifolds. In the same paper, they showed that there are at least one and at most finitely many tight geodesics betw…

2017-03-30abs ↗pdf ↗

We investigate a variety of stability properties of Haezendonck-Goovaerts premium principles on their natural domain, namely Orlicz spaces. We show that such principles always satisfy the Fatou property. This allows to establish a tractable dual representation without imposing any condition on the reference Orlicz func…

2019-09-24abs ↗pdf ↗

Let KK be an unknot in 88-bridge position in the 33-sphere. We give an example of a pair of weak reducing disks D1D_1 and D2D_2 for KK such that both disks obtained from DiD_i (i=1,2i = 1, 2) by a surgery along any outermost disk in D3iD_{3-i}, cut off by an outermost arc of DiD3iD_i \cap D_{3-i} in D3iD_{3-i}, are not wea…

2018-04-19abs ↗pdf ↗