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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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213426638851 · Jun 202019922001200920172026
48 results for subgroup sample complexity

The paper explores fairness in machine learning by setting subgroup sample complexity bounds and advocating for human intervention.

problem Machine learning models often show different performance metrics for different subgroups, due to various factors.
method The paper presents lower bounds of subgroup sample complexity for metric-fair learning and proposes an approach using individual fairness definitions for cases where subgroup samples are insufficient.
result For a classifier to be fair, adequate subgroup population samples are necessary, and model dimensionality must align with subgroup population distributions.

Study shows how to reduce data needed for learning under geometric constraints.

problem Learning high-dimensional data with geometric priors.
method Spherical harmonic decompositions and kernel methods for invariance and geometric stability.
result Improvements in sample complexity by leveraging group invariance, with asymptotic behavior depending on spectral properties.

Estimates sample size for subgroup analysis in randomized experiments.

problem Determining sample size for accurate subgroup analysis.
method Turns inference problem into simultaneous inference, calculates sample size based on confidence level and margin of error.
result Allows inversion of sample size to feasible number of treatment arms or partition complexity.

The paper defines parabolic subgroups for complex braid groups and proves they form a lattice.

problem Defining and characterizing parabolic subgroups in complex braid groups.
method Introducing and studying parabolic subgroups of generalized braid groups associated with complex reflection groups.
result Parabolic subgroups form a lattice in most cases, with specific properties and conjectures about hyperbolicity.

Study of subgroups in complex hyperbolic lattice triangle groups.

problem Characterizing subgroups of finite index in complex hyperbolic lattice triangle groups.
method Explicit construction and analysis of subgroups, examination of their properties.
result Identification of neat subgroups, subgroups with positive first Betti number, and homomorphisms onto non-Abelian free groups.

New method combines randomization tests and flexible models for valid inference without splitting data.

problem Valid inference in randomized panel experiments with complex effect heterogeneity.
method Model-assisted randomization tests that estimate unsigned CATE from residualized outcomes.
result CATE-assisted tests control Type I error and achieve higher power than alternatives.

Study complex hyperbolic lattices and their subgroups, proving new finiteness properties.

problem Characterize subgroups of complex hyperbolic lattices.
method Analyzing homomorphisms and using arithmetic lattice properties.
result Deep subgroups of complex hyperbolic lattices admit homomorphisms to Z with specific kernel types.

We show that, in an Artin-Tits group of spherical type, the intersection of two parabolic subgroups is a parabolic subgroup. Moreover, we show that the set of parabolic subgroups forms a lattice with respect to inclusion. This extends to all Artin-Tits groups of spherical type a result that was previously known for bra…

2017-12-19abs ↗pdf ↗

Study C\mathbb{C}-Fuchsian subgroups of non-arithmetic lattices.

problem Understand structure and fundamental domains of C\mathbb{C}-Fuchsian subgroups.
method General procedure to analyze structure and show fundamental domains lie on a complex geodesic.
result Fundamental domains of C\mathbb{C}-Fuchsian subgroups lie on a complex geodesic homeomorphic to the unit disk.

Explicit polynomial bound found for subgroup Dehn function.

problem Finding explicit bounds on Dehn functions of subgroups of hyperbolic groups.
method Constructing a specific example of a non-hyperbolic subgroup and analyzing its Dehn function.
result Explicit polynomial upper bound n96n^{96} on the Dehn function of a non-hyperbolic subgroup.

This paper classifies Ricci solitons in complex hyperbolic spaces.

problem Understanding Ricci solitons in complex hyperbolic spaces.
method Analyzing homogeneous expanding Ricci solitons as submanifolds of complex hyperbolic spaces.
result Classification and analysis of Lie subgroups with Ricci soliton induced metric in complex hyperbolic spaces.

For a compact almost complex 4-manifold (M,J)(M,J), we study the subgroups HJ±H^{\pm}_J of H2(M,R)H^2(M, \mathbb{R}) consisting of cohomology classes representable by JJ-invariant, respectively, JJ-anti-invariant 2-forms. If b+=1b^+ =1, we show that for generic almost complex structures on MM, the subgroup HJH^-_J is trivial. …

2011-04-13abs ↗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.

Proposes a new method for subgroup analysis using optimal trees with parameter fusion.

problem Challenges of greedy heuristics and overfitting in tree-based recursive partitioning methods.
method Fused optimal causal tree method leveraging mixed integer optimization (MIO) for globally optimal partitions and parameter fusion.
result Substantial improvement in subgroup discovery accuracy and statistical efficiency.

The Cartesian subgroup in graph products of groups is studied with bounds and algorithms.

problem Understanding the structure of Cartesian subgroups in graph products of groups.
method Theory of polyhedral products, lower and upper bounds, algorithm for small presentations.
result Bounds on the number of relations and deficiency in presentations of Cartesian groups.

Proposes a method to detect anomalies in multi-subgroup normal data.

problem Anomaly detection with limited labeled anomalies and multi-subgroup normal data.
method Learn multi-normal prototypes with deep embedding clustering and contrastive learning. Estimate the likelihood of unlabeled samples being normal during training.
result Superior performance compared to state-of-the-art methods on various datasets.

A new method improves AI fairness assessment by estimating performance across intersectional subgroups.

problem Limited evaluation of AI systems across intersectional subgroups due to small sample sizes.
method Structured regression approach to disaggregated evaluation.
result Our method yields more accurate performance estimates, especially for small subgroups.

We associate cube complexes called completions to each subgroup of a right-angled Coxeter group (RACG). A completion characterizes many properties of the subgroup such as whether it is quasiconvex, normal, finite-index or torsion-free. We use completions to show that reflection subgroups are quasiconvex, as are one-end…

2019-08-23abs ↗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 ↗

CRL approach improves understanding of heterogeneous treatment effects in complex diseases.

problem Estimating heterogeneous treatment effects in complex diseases.
method Causal rule learning (CRL) workflow consisting of rule discovery, selection, and analysis.
result CRL outperforms other methods in providing interpretable estimates of HTE.

The paper studies hyperbolic quotients of projection complexes and their actions.

problem Understanding the structure and properties of quotients of projection complexes.
method Analyzing the quotient of projection complexes by normal subgroups and studying the resulting actions.
result The quotient complex is δ-hyperbolic under certain conditions, and the quotient group is acylindrically hyperbolic.

GAME improves matrix completion by considering subgroup-specific latent structures.

problem Heterogeneous data with overlapping categories, smoothing away subgroup-specific variation.
method Group-Aware Matrix Estimation (GAME) with overlapping nuclear-norm penalties.
result GAME outperforms global low-rank estimators in structured missingness regimes.

The braid group of a complex reflection group is shown to be an index d subgroup.

problem Understanding the structure of braid groups associated with complex reflection groups.
method Presented a compatible presentation for the braid group of the orbifold quotient and a tagged triangulation of the disk.
result The braid group of the complex reflection group G(d,d,n)G(d,d,n) is an index dd subgroup of the braid group of the orbifold quotient.

The study finds a limit on subgroup complexity in hyperbolic 3-manifold groups.

problem Understanding subgroups of bounded rank in hyperbolic 3-manifold groups.
method Proving a finiteness theorem for subgroups of bounded rank.
result Every bounded rank covering tower of closed hyperbolic 3-manifolds is a tower of finite covers associated to a fibration over a 1-orbifold.

The intersection pattern of the translates of the limit set of a quasi-convex subgroup of a hyperbolic group can be coded in a natural incidence graph, which suggests connections with the splittings of the ambient group. A similar incidence graph exists for any subgroup of a group. We show that the disconnectedness of …

2009-06-05abs ↗pdf ↗

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.

New algorithm tackles subgroup fairness in AI with multiple sensitive attributes.

problem Heavy computational burdens and data sparsity in subgroup fairness for multiple sensitive attributes.
method Doubly Regressing Adversarial learning (DRAF) for subgroup fairness, focusing on subgroups with sufficient sample sizes and marginal fairness.
result DRAF algorithm reduces a surrogate fairness gap for supIPM with less computation than directly reducing supIPM.

Kakimizu complex of a knot is a flag simplicial complex whose vertices correspond to minimal genus Seifert surfaces and edges to disjoint pairs of such surfaces. We discuss a general setting in which one can define a similar complex. We prove that this complex is contractible, which was conjectured by Kakimizu. More ge…

2010-04-23abs ↗pdf ↗