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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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48 results for minor relations

In this paper we consider minors of ribbon graphs (or, equivalently, cellularly embedded graphs). The theory of minors of ribbon graphs differs from that of graphs in that contracting loops is necessary and doing this can create additional vertices and components. Thus the ribbon graph minor relation is incompatible wi…

2013-11-09abs ↗pdf ↗

This paper gives a critical account of the minority game literature. The minority game is a simple congestion game: players need to choose between two options, and those who have selected the option chosen by the minority win. The learning model proposed in this literature seems to differ markedly from the learning mod…

2007-06-29abs ↗pdf ↗

A plane graph HH is a {\em plane minor} of a plane graph GG if there is a sequence of vertex and edge deletions, and edge contractions performed on the plane, that takes GG to HH. Motivated by knot theory problems, it has been asked if the plane minor relation is a well-quasi-order. We settle this in the affirmativ…

2019-05-06abs ↗pdf ↗

Generalization of the minority game to more than one market is considered. At each time step every agent chooses one of its strategies and acts on the market related to this strategy. If the payoff function allows for strong fluctuation of utility then market occupancies become inhomogeneous with preference given to th…

2008-09-23abs ↗pdf ↗

The paper analyzes SMOTE for imbalanced classification, providing theoretical bounds and guidelines.

problem The challenge of imbalanced classification problems, especially with minority classes.
method Theoretical analysis of SMOTE and related oversampling techniques for minority classes.
result Derives concentration and excess risk bounds for SMOTE and kernel-based classifiers.

A new oversampling framework generates minority samples by perturbing majority classes.

problem Oversampling in imbalanced classification often neglects majority classes, leading to samples spread across the minority space.
method Introduces a counterfactual objective to generate new minority samples by perturbing majority samples.
result Generated minority samples are near the decision boundary and significantly outperform state-of-the-art methods.

We study analytically and numerically Minority Games in which agents may invest in different assets (or markets), considering both the canonical and the grand-canonical versions. We find that the likelihood of agents trading in a given asset depends on the relative amount of information available in that market. More s…

2006-03-19abs ↗pdf ↗

The study characterizes embeddable 2-complexes in 3-space.

problem Characterizing embeddable 2-dimensional simplicial complexes in 3-space.
method Characterization through excluded minors and extensions.
result Characterized embeddable 2-complexes in 3-space, including cones over K5K_5 and K3,3K_{3,3}, and related constructions.

Every infinitely edge-connected graph has a minor of Farey graph or T0tT_{\aleph_0}\ast t.

problem Characterizing edge-connected graphs with specific minor properties.
method Analyzing the minor structure of infinitely edge-connected graphs.
result Infinitely edge-connected graphs contain Farey graph or T0tT_{\aleph_0}\ast t as a minor.

Boost-and-Skip generates minority samples without guidance, faster and more effectively.

problem Generating minority samples in low-density regions of a data manifold.
method Boost-and-Skip approach with variance-boosted initialization and timestep skipping.
result Boost-and-Skip effectively promotes the emergence of underrepresented minority features.

Paper determines Assouad-Nagata dimension for all minor-closed metrics.

problem Understanding the Assouad-Nagata dimension of minor-closed metrics.
method Using edge-weighted graphs and edge-deletion/contraction to model minor-closed metrics, determining their Assouad-Nagata dimension.
result Determined the Assouad-Nagata dimension for every minor-closed metric.

Reprint of a 1989 paper including minor corrections of misprints. Added comments (11 pages) about later related papers in the literature concerning comparison of Gabriel-Zisman calculus of (right) fractions and the use of generalized morphims in the sense of Haefliger-Skandalis-Hilsum for inverting differentiable equiv…

2008-03-28abs ↗pdf ↗

In this paper we study the continuum time dynamics of a stock in a market where agents behavior is modeled by a Minority Game and a Grand Canonical Minority Game. The dynamics derived is a generalized geometric Brownian motion; from the Black & Scholes formula the calibration of both the Minority Game and the Grand Can…

2012-05-11abs ↗pdf ↗

The complement of a non-separating planar graph contains a K_n minor.

problem Characterizing the structure of complements of planar graphs.
method Analyzing the structure of complements of non-separating planar graphs and using examples to illustrate hypotheses.
result The order 2n-3 is the lowest possible for a non-separating planar graph whose complement contains a K_n minor.

The paper is partially withdrawn: in its current form, Lemma 2.3 is false, so that our proof of Theorem A and Proposition B has an important gap. We were unable to fix it yet. Any help is most welcome. We prove that the restriction of surface minority to fiber surfaces of divides is a well-quasi-order. Here surface min…

2012-11-30abs ↗pdf ↗

Overparameterized models can worsen minority group errors even when overall test error improves.

problem Overparameterization exacerbates spurious correlations, harming minority groups.
method Simulations and experiments on image datasets, theoretical analysis of linear models.
result Subsampling the majority group can achieve low minority error in overparameterized models.

We study the market impact of a meta-order in the framework of the Minority Game. This amounts to studying the response of the market when introducing a trader who buys or sells a fixed amount h for a finite time T. This perturbation introduces statistical arbitrages that traders exploit by adapting their trading strat…

2011-12-16abs ↗pdf ↗

We introduce the minority game theory for two kinds of the Korean treasury bond (KTB) in Korean futures exchange markets. Since we discuss numerically the standard deviation and the global efficiency for an arbitrary strategy, our case is found to be approximate to the majority game. Our result presented will be compar…

2005-03-01abs ↗pdf ↗

M2m method improves deep learning performance on class-imbalanced datasets.

problem Class imbalance in labeled training datasets causes deep neural networks to generalize poorly to minority classes.
method Augment less-frequent classes by translating samples from more-frequent classes.
result Significantly improves generalization on minority classes compared to existing methods.

Imbalanced data classification problem has always been a popular topic in the field of machine learning research. In order to balance the samples between majority and minority class. Oversampling algorithm is used to synthesize new minority class samples, but it could bring in noise. Pointing to the noise problems, thi…

2019-08-30abs ↗pdf ↗

Framework learns to transform majority to minority samples for balanced classification.

problem Imbalanced classification leading to biased predictions.
method Minimizes MMD and uses triplet loss for global alignment and boundary awareness.
result Consistent improvements over classical and generative baselines in AUROC, G-mean, F1-score, and MCC.

A graph is apex if it can be made planar by deleting a vertex, that is, v\exists v such that GvG-v is planar. We define the related notions of edge apex, e\exists e such that GeG-e is planar, and contraction apex, e\exists e such that G/eG/e is planar, as well as the analogues with a universal quantifier: v\forall v

2016-08-05abs ↗pdf ↗

Study simplicial volume of manifolds from reflection group trick.

problem Characterize manifolds with positive simplicial volume.
method Define a partial order on triangulations and solve explicitly for minimal elements.
result Explicitly solved triangulations of the two-dimensional sphere and performed extensive analysis for three-dimensional case.

Decision trees can be biased towards minority class, contrary to belief.

problem Bias in decision trees towards minority class in imbalanced datasets.
method Critical evaluation of past literature, specific conditions analysis, tree-fitting adjustments, and post-hoc calibration methods.
result Decision trees can be biased towards minority class under specific conditions, not always towards majority.

New model explains neural collapse and limits on minority classes in imbalanced datasets.

problem Understanding and predicting performance limits of deep learning models on imbalanced datasets.
method Layer-Peeled Model, a nonconvex optimization program isolating top layers and applying constraints.
result Reveals a new phenomenon called Minority Collapse that limits deep learning models on minority classes.