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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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3978117156 · Jun 202019922001200920172026
48 results for Disjoint constraints

The paper introduces MU for NMF with ββ-divergences and disjoint constraints.

problem Nonnegative matrix factorization with constraints.
method Design multiplicative updates for NMF based on ββ-divergences with disjoint constraints.
result Multiplicative updates satisfy constraints and decrease the objective function.

The main result is a direct proof of the implication (LVKFk,3)(LT3k1,3)(LVKF_{k,3})\Rightarrow( LT_{3k-1,3}) below. Consider the following statements: (LVKF1,3LVKF_{1,3}) From any 11 points in R3 \mathbb{R}^{3} one can choose 3 pairwise disjoint triples whose convex hulls have a common point. (LVKFk,3LVKF_{k,3}) From any 6k+56k + 5 points in $ \m…

2019-03-21abs ↗pdf ↗

In a recent work, [19] studied the following "fair" variants of classical clustering problems such as kk-means and kk-median: given a set of nn data points in Rd\mathbb{R}^d and a binary type associated to each data point, the goal is to cluster the points while ensuring that the proportion of each type in each clus…

2019-06-20abs ↗pdf ↗

A lens cluster minimizes perimeter in the plane with given area constraints.

problem Minimizing perimeter in the plane with given area constraints.
method Analyzing lens clusters consisting of circular arcs with specific geometric properties.
result Lens clusters are local minimizers of the total perimeter functional.

Exact partitioning of high-order planted models achieved through convex optimization.

problem Efficiently partitioning hypergraphs generated by high-order planted models.
method Solving a computationally efficient convex optimization problem with a tensor nuclear norm constraint.
result Exact recovery of true underlying cluster structures with high probability.

A Heegaard splitting of a closed, orientable three-manifold satisfies the disjoint curve property if the splitting surface contains an essential simple closed curve and each handlebody contains an essential disk disjoint from this curve [Thompson, 1999]. A splitting is full if it does not have the disjoint curve proper…

2004-01-28abs ↗pdf ↗

Distributed sensors compress and send features to a fusion center for linear regression.

problem Efficiently compress and transmit features from distributed sensors to a fusion center under varying communication constraints.
method Designs a distributed and adaptive feature compression scheme using optimal quantizers and simple adaptive strategies.
result Demonstrates improved inference performance through simulated experiments.

We present a new property, the Disjoint Path Concordances Property, of an ENR homology manifold X which precisely characterizes when X times R has the Disjoint Disks Property. As a consequence, X times R is a manifold if and only if X is resolvable and it possesses this Disjoint Path Concordances Property.

2009-03-17abs ↗pdf ↗

Developed Gompf connected sum for orbifolds, constructing symplectic and K-contact manifolds.

problem Constructing symplectic and K-contact manifolds with specific properties.
method Developed Gompf fiber connected sum operation for symplectic orbifolds and used it to construct the required manifolds.
result Constructed a K-contact Smale-Barden manifold with specified 2-homology and sharper estimates.

Two triples of triangles having pairwise disjoint outlines in 3-space are called combinatorially isotopic if one triple can be obtained from the other by a continuous motion during which the outlines of the triangles remain pairwise disjoint. We conjecture that it can be algorithmically checked if an (ordered or unorde…

2019-08-11abs ↗pdf ↗

This paper uses entropy to derive stock price dynamics and option valuation.

problem Deriving stock price dynamics and option valuation from information constraints.
method Develops an entropic inference framework to derive stochastic processes from information constraints, representing price changes through two channels: continuous and jump.
result The derived dynamics is the Merton jump diffusion, with Geometric Brownian Motion as the no jump limit.

We estimate from below the number of lines meeting each of given 4 disjoint smooth closed curves in a given cyclic order in the real projective 3-space and in a given linear order in the Euclidean 3-space. Similarly, we estimate the number of circles meeting in a given cyclic order given 6 disjoint smooth closed curves…

2005-11-21abs ↗pdf ↗

We prove that the number s(n) of disjoint minimal graphs supported on domains in R^n is bounded by e(n+1)^2. In the two-dimensional case we show that s(2) is at most three (the conjectured number is two).

2008-07-23abs ↗pdf ↗

New theorem on embedding Moebius bands in 3D space.

problem Proving the impossibility of placing uncountably many disjoint Moebius bands in 3D space.
method Generalization of Grushin and Palamodov's result to tame subsets in R^N and arbitrary topological embeddings in R^3.
result The impossibility of embedding uncountably many pairwise disjoint Moebius bands in 3D space, even for arbitrary topological embeddings.

The study bounds the excess of disjoint nonorientable surfaces in a 4-manifold.

problem Bounding the excess of disjoint nonorientable surfaces in a 4-manifold.
method Combining tubing construction with signature and Euler-characteristic formulas for 2-fold branched covers.
result The normal-Euler excess is bounded by a constant depending only on the ambient 4-manifold.

The width ww of a curve γγ in Euclidean space RnR^n is the infimum of the distances between all pairs of parallel hyperplanes which bound γγ, while its inradius rr is the supremum of the radii of all spheres which are contained in the convex hull of γγ and are disjoint from γγ. We use a mixture of topological and…

2016-05-04abs ↗pdf ↗

New algorithm for learning causal structures with disjoint cycles in linear non-Gaussian models.

problem Learning causal structures with cycles in linear non-Gaussian models.
method Characterizing when graphs determine the same model, using quadratic and cubic polynomial relations, and a strategy of decorrelating cycles and multivariate regression.
result Consistent and computationally efficient algorithm for learning causal structures with disjoint cycles.

The following problem was proposed in 2010 by S. Lando. Let MM and NN be two unions of the same number of disjoint circles in a sphere. Do there always exist two spheres in 3-space such that their intersection is transversal and is a union of disjoint circles that is situated as MM in one sphere and as NN in the ot…

2012-10-27abs ↗pdf ↗

MTL method uses unlabeled data with pseudo labels to improve classification with disjoint datasets.

problem Improving classification performance with disjoint labeled datasets using unlabeled data.
method Proposes MTL-SA method to select and augment unlabeled data with confident pseudo labels and close distribution to labeled data.
result Extensive experiments show the effectiveness of MTL-SA method in improving classification performance.

Neural Bayes simplifies computing complex stats for unsupervised learning.

problem Computing mutual information and optimal labeling of disjoint manifolds in unsupervised learning.
method Parameterization using neural networks to express statistical quantities in closed form.
result Neural Bayes enables efficient computation of mutual information and optimal labeling of disjoint manifolds.

Lin-Lu-Yau introduced an interesting notion of Ricci curvature for graphs and obtained a complete characterization for all Ricci-flat graphs with girth at least five [1]. In this paper, we propose a concrete approach to construct an infinite family of distinct Ricci-flat graphs of girth four with edge-disjoint 4-cycles…

2018-07-19abs ↗pdf ↗

The problem of causal inference is to determine if a given probability distribution on observed variables is compatible with some causal structure. The difficult case is when the causal structure includes latent variables. We here introduce the inflation technique\textit{inflation technique} for tackling this problem. An inflation of a…

2016-09-02abs ↗pdf ↗

A biclustering algorithm finds dense disjoint subgraphs in weighted bipartite graphs.

problem Finding dense disjoint bicliques in a weighted bipartite graph.
method Semidefinite programming-based branch-and-cut algorithm with upper and lower bounds.
result The algorithm can solve much larger instances than general-purpose solvers.

We study the structure of finite quandles in terms of subquandles. Every finite quandle QQ decomposes in a natural way as a union of disjoint QQ-complemented subquandles; this decomposition coincides with the usual orbit decomposition of QQ. Conversely, the structure of a finite quandle with a given orbit decomposit…

2005-08-14abs ↗pdf ↗

Let Y be a compact, oriented 3-manifold with a contact form a. For any Dirac operator D, we study the asymptotic behavior of the spectral flow between D and D+cl(-ira) as r very large. If a is the Thurston-Winkelnkemper contact form whose monodromy is the product of Dehn twists along disjoint circles, we prove that the…

2011-04-26abs ↗pdf ↗

Improved defense against data poisoning attacks by aggregating smaller subsets.

problem Mitigating the impact of poisoned data on model robustness.
method Finite Aggregation method that combines duplicates of smaller disjoint subsets for training.
result Consistent improvement in certified robustness bounds, up to 4.77% on GTSRB.

In this paper we study how to distinguish two embeddings of a finite collection of disjoint circles into the plane up to planar isotopy. We adopt the spirit of the approach by V. Turaev, Operator Invariants of Tangles, Math. USSR-Izv. 35 (1990), 411--444, by considering a category of planar tangles and representing it …

2005-04-17abs ↗pdf ↗