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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.

168,657 papers · 148 categories

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48 results for level 2 subgroup

This paper determines a minimal generating set and abelianization of a specific subgroup of SL(n,Z).

problem Understanding the structure of the level d principal congruence subgroup of SL(n,Z).
method Direct computation and theorems about the subgroup without relying on previous results.
result A minimal generating set and abelianization of the level d principal congruence subgroup of SL(n,Z).

By evaluating the Burau representation at t=-1, we obtain a symplectic representation of the braid group. We define the congruence subgroups of the braid group to be the preimages of the principal congruence subgroups of the symplectic group. Our main result is that the level four congruence subgroup of the braid group…

2014-10-27abs ↗pdf ↗

We study Veech groups of covering surfaces of primitive translation surfaces. Therefore we define congruence subgroups in Veech groups of primitive translation surfaces using their action on the homology with entries in Z/aZ\mathbb{Z}/a\mathbb{Z}. We introduce a congruence level definition and a property of a primitive t…

2014-03-19abs ↗pdf ↗

The study explores congruence subgroups of braid groups and their quotients.

problem Understanding the structure of congruence subgroups of braid groups.
method Utilizing the integral Burau representation and results from integral matrices, the study examines quotients of these subgroups.
result Findings of quotients that are not isomorphic to symmetric groups.

Proposes a method to learn fair predictors for multiple subgroups with limited data.

problem Fairness and accuracy issues in learning from multiple subgroups with limited data.
method Formulates a bilevel objective to learn subgroup-specific predictors and a fair predictor that is close to all of them.
result The method effectively controls group sufficiency and generalization error, improving fairness and accuracy.

These are the lecture notes for my course at the 2011 Park City Mathematics Graduate Summer School. The first two lectures covered the basics of the Torelli group and the Johnson homomorphism, and the third and fourth lectures discussed the second cohomology group of the level p congruence subgroup of the mapping class…

2012-01-18abs ↗pdf ↗

We determine C-special subgroups of the Bianchi groups of index bounded above by 120 by effectivising the arguments of Agol-Long-Reid. These subgroups are congruence of level 2 or 4 and retract to the free group on two generators. As a consequence, we find a C-special 20-sheeted cover of the figure-eight knot complemen…

2017-09-29abs ↗pdf ↗

Simulation study evaluates causal ML models under confounding violations.

problem Assessing conditional exchangeability in causal machine learning models.
method Simulation study with varying confounding, sample size, and NCO structures.
result Causal ML models fail to recover true treatment effect heterogeneity under violations of conditional exchangeability.

For 4L4 \nmid L and gg large, we calculate the integral Picard groups of the moduli spaces of curves and principally polarized abelian varieties with level LL structures. In particular, we determine the divisibility properties of the standard line bundles over these moduli spaces and we calculate the second integral …

2009-08-04abs ↗pdf ↗

We consider discrete subgroups Gamma of the simply connected Lie group SU~(1,1), the universal cover of SU(1,1), of finite level, i.e. the subgroup intersects the centre of SU~(1,1) in a subgroup of finite index, this index is called the level of the group. The Killing form induces a Lorentzian metric of constant curva…

2003-08-28abs ↗pdf ↗

We consider high-dimensional regression over subgroups of observations. Our work is motivated by biomedical problems, where disease subtypes, for example, may differ with respect to underlying regression models, but sample sizes at the subgroup-level may be limited. We focus on the case in which subgroup-specific model…

2016-11-03abs ↗pdf ↗

Study new bounds on TC of spaces with subgroup inclusions.

problem Lower bounds on TC of spaces with subgroup inclusions.
method Generalizes TC results from aspherical spaces to spaces with subgroup inclusions.
result Establishes new lower bounds on sequential TCs of aspherical spaces.

Develops algorithm to find subgroups with different treatment effects in HIV patients.

problem Estimating treatment effects in EHR data with challenges like time-varying confounding.
method SDLD algorithm combining generalized interaction tree and longitudinal targeted maximum likelihood estimation.
result Identifies subgroups of HIV patients at higher risk of weight gain with dolutegravir-containing ARTs.

Study of modular representations in homology of congruence subgroups.

problem Understanding modular representations in homology of congruence subgroups.
method Analysis of sequences of modular representations of symplectic and special linear groups over finite fields.
result Established periodic representation stability in the sense of Church--Farb.

We construct the first examples of normal subgroups of mapping class groups that are isomorphic to non-free right-angled Artin groups. Our construction also gives normal, non-free right-angled Artin subgroups of other groups, such as braid groups and pure braid groups, as well as many subgroups of the mapping class gro…

2020-01-28abs ↗pdf ↗

Let IA_n be the Torelli subgroup of Aut(F_n). We give an explicit finite set of generators for H_2(IA_n) as a GL_n(Z)-module. Corollaries include a version of surjective representation stability for H_2(IA_n), the vanishing of the GL_n(Z)-coinvariants of H_2(IA_n), and the vanishing of the second rational homology grou…

2014-08-26abs ↗pdf ↗

New framework shows diverse training data improves subgroup and overall performance.

problem Lack of understanding how diverse training data affects subgroup and overall performance.
method Casts data collection as part of the learning process, analyzes dataset compositions, and guides dataset design.
result Diverse representation in training data improves subgroup and overall performance.

New holistic approach measures sample-level adversarial vulnerability for trustworthy systems.

problem Inherent bias in adversarial attacks across subgroups.
method Combining high-frequency feature reliance and sample-distance to decision boundary.
result Holistic approach improves adversarial vulnerability estimation and system trustworthiness.

While studying response trajectory, often the population of interest may be diverse enough to exist distinct subgroups within it and the longitudinal change in response may not be uniform in these subgroups. That is, the timeslope and/or influence of covariates in longitudinal profile may vary among these different sub…

2013-09-30abs ↗pdf ↗

The paper breaks down AUC into cluster-level components for better model diagnostics.

problem Global AUC masks weaknesses in specific subpopulations, leading to financial or operational risks.
method Formal decomposition of AUC into intra- and inter-cluster components, comparing with other performance metrics.
result Allows practitioners to evaluate and diagnose model performance within and across clusters.

Paper examines Dehn twists on non-orientable surfaces and their limitations.

problem Limitations of generating Dehn twists on non-orientable surfaces.
method Analyzes the level 2 mapping class group of non-orientable surfaces and their subgroups.
result Dehn twist subgroup of M2(Ng)\mathcal{M}_2(N_g) cannot be generated by squares of Dehn twists about non-separating curves.

Posterior conformal prediction improves prediction interval validity for subgroups.

problem Marginal and conditional prediction interval validity for subgroups.
method Modeling conditional nonconformity score distribution as a mixture of cluster distributions.
result PCP produces tighter prediction intervals, especially for well-represented clusters.

Study shows Steinberg representation's multiplicity in cohomology of congruence subgroups.

problem Analyzing multiplicity of Steinberg representation in cohomology of congruence subgroups.
method Computation of cohomology of SS-arithmetic groups outside a linear range of degrees.
result Multiplicity of Steinberg representation is 1 in top-degree cohomology.

Ng and Schauenburg proved that the kernel of a (2+1)(2+1)-dimensional topological quantum field theory representation of SL(2,Z)\mathrm{SL}(2, \mathbb{Z}) is a congruence subgroup. Motivated by their result, we explore when the kernel of an irreducible representation of the braid group B3B_3 with finite image enjoys a congruen…

2016-11-16abs ↗pdf ↗

We introduce a notion of rectifiability modeled on Carnot groups. Precisely, we say that a subset E of a Carnot group M and N is a subgroup of M, we say E is N-rectifiable if it is the Lipschitz image of a positive measure subset of N. First, we discuss the implications of N-rectifiability, where N is a Carnot group (n…

2000-04-11abs ↗pdf ↗

We investigate the cohomology of the level 4 subgroup of the braid group, namely, the kernel of the mod 4 reduction of the Burau representation at t=1t=-1. This group is also equal to the kernel of the mod 2 abelianization of the pure braid group. We give an exact formula for the first Betti number; it is a quartic poly…

2019-03-07abs ↗pdf ↗

This study evaluates subgroup analysis methods for time-to-event outcomes in randomized controlled trials.

problem Identifying subgroups of good responders in non-significant randomized controlled trials.
method Evaluation of several subgroup analysis algorithms for time-to-event outcomes using synthetic and semi-synthetic data.
result Provides a new synthetic and semi-synthetic data generation process and an open-source Python package for benchmarking.

CRE discovers interpretable subgroups with heterogeneous treatment effects.

problem Identifying subgroups with notable treatment effect heterogeneity.
method Causal Rule Ensemble (CRE) using an ensemble-of-trees approach.
result CRE offers interpretable decision rules and high stability in subgroup discovery.

Proposes a novel method to cluster individuals based on treatment effects.

problem Identifying subpopulations with different treatment responses.
method Clusters individuals using a learned kernel derived from causal forests, revealing latent subgroup structures.
result Captures meaningful treatment effect heterogeneity through kernelized clustering.