Research
On-device research index

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

Trend · papers per month

57114170227 · Jun 202019922001200920172026
48 results for regular monomorphisms

Characterizes quasi-isometric embeddings in coarsely Lipschitz category.

problem Understanding quasi-isometric embeddings in geometric terms.
method Formalizes quasi-isometric embeddings as regular monomorphisms in coarsely Lipschitz category.
result Quasi-isometric embeddings are equivalently characterised as effective, strong, or extremal monomorphisms.

We prove that a monomorphic functor F:CompCompF:Comp\to Comp with finite supports is epimorphic, continuous, and its maximal \emptyset-modification FF^\circ preserves intersections. This implies that a monomorphic functor F:CompCompF:Comp\to Comp of finite degree degFndeg F\le n preserves (finite-dimensional) compact ANR's if the spac…

2010-04-03abs ↗pdf ↗

Wright showed that, if a 1-ended simply connected locally compact ANR Y with pro-monomorphic fundamental group at infinity admits a proper Z-action, then that fundamental group at infinity can be represented by an inverse sequence of finitely generated free groups. Geoghegan and Guilbault strengthened that result, prov…

2016-11-06abs ↗pdf ↗

Suppose that MM is a connected orientable nn-dimensional manifold and m>2nm>2n. If Hi(M,R)=0H^i(M,\R)=0 for i>0i>0, it is proved that for each mm there is a monomorphism $H^m(W_n,\on{O}(n))\to H^m_{\on{cont}}(\on{Diff}M,\R)$. If MM is closed and oriented, it is proved that for each mm there is a monomorphism $H^m(W_n,\on{O}…

2009-06-25abs ↗pdf ↗

In 1992, David Wright proved a remarkable theorem about which contractible open manifolds are covering spaces. He showed that if a one-ended open manifold M has pro-monomorphic fundamental group at infinity which is not pro-trivial and is not stably Z, then M does not cover any manifold (except itself). In the non-mani…

2010-05-16abs ↗pdf ↗

Aim of this note is to extract cohomological information about the manifold Emb(M,N)Emb(M,N) from the topology of the target manifold N. For special conditions, a monomorphism H1(N)H1(Emb(M,N))H^1 (N) \to H^1 (Emb(M,N)) is constructed.

2002-02-06abs ↗pdf ↗

Let F be a non-abelian finite rank free group, and let H_g be the fundamental group of a surface of genus g with one boundary component represented by D_g in H_g. So, H_g is the free group <a_1,b_1,...,a_g,b_g> and D_g is the product of commutators [a_1,b_1]...[a_g,b_g]. Given x in F, we are interested in the number nu…

2005-05-17abs ↗pdf ↗

Study presentations of groups that can be generalised over continuous open group monomorphisms.

problem Investigate presentations of groups that can be generalised over continuous open group monomorphisms.
method Systematic study of presentations with generalisation properties, focusing on right-angled Artin groups (RAAGs).
result Establish high connectivity properties for universal Salvetti-type complexes and novel examples of LC groups with prescribed compactness properties.

We prove that groups that are mod-p-homology equivalent are isomorphic modulo any term of their derived p-series, in precise analogy to Stallings' 1963 result for the lower-central p-series. Similarly spaces that are mod-p-homology equivalent have fundamental groups that are isomorphic modulo any term of their p-derive…

2007-02-28abs ↗pdf ↗

In~\cite{Ma} Manturov studied groups GnkG_{n}^{k} for fixed integers nn and kk such that k<nk<n. In particular, Gn2G_{n}^{2} is isomorphic to the group of free braids of nn-stands. In~\cite{KiMa} Manturov and the author studied an invariant valued in free groups not only for free braids but also for free tangles, which…

2016-04-30abs ↗pdf ↗

We construct new monomorphisms between mapping class groups of surfaces. The first family of examples injects the mapping class group of a closed surface into that of a different closed surface. The second family of examples are defined on mapping class groups of once-punctured surfaces and have quite curious behaviour…

2008-11-05abs ↗pdf ↗

In the present paper, we construct a monomorphism from (Artin) pure braid group PBnPB_{n} into a group, which is `bigger' than PBnPB_{n}. Roughly speaking, this mapping is defined on words of braids by adding `new generators' between generators of PBnPB_{n}. By this mapping we can get a new invariant for classical braids.…

2016-12-11abs ↗pdf ↗

A. Borel proved that, if a finite group FF acts effectively and continuously on a closed aspherical manifold MM with centerless fundamental group π1(M)π_1(M), then a natural homomorphism ψψ from FF to the outer automorphism group Outπ1(M){\rm Out} π_1(M) of π1(M)π_1(M), called the associated abstract kernel, is a monomorphism.…

2005-05-30abs ↗pdf ↗

Inverse braid monoid describes a structure on braids where the number of strings is not fixed. So, some strings of initial nn may be deleted. In the paper we show that many properties and objects based on braid groups may be extended to the inverse braid monoids. Namely we prove an inclusion into a monoid of partial m…

2007-04-23abs ↗pdf ↗

Finite subgroups of good groups correspond to their profinite completions.

problem Characterizing finite subgroups of profinite completions of good groups.
method Proving bijective correspondence between conjugacy classes of finite p-subgroups in GG and G^\hat{G}, and analyzing centralizers and normalizers.
result Bijective correspondence between conjugacy classes of finite p-subgroups in GG and G^\hat{G}.

A Polish group GG is called a group of quasi-invariance or a QI-group, if there exist a locally compact group XX and a probability measure μμ on XX such that 1) there exists a continuous monomorphism of GG to XX, and 2) for each gXg\in X either gGg\in G and the shift μgμ_g is equivalent to μμ or g∉Gg\not\in G and…

2008-12-09abs ↗pdf ↗

For a smooth (locally trivial) principal bundle in Ehresmann's sense, the relation between the commuting vertical and horizontal actions of the structural Lie group and the structural Lie groupoid (isomorphisms between vertical fibers) is regarded as a special case of a symmetrical concept of conjugation between "princ…

2007-11-10abs ↗pdf ↗

The paper studies geodesic hypersurfaces in hyperbolic manifolds and their fundamental groups.

problem Understanding the fundamental groups of hyperbolic manifolds through geodesic hypersurfaces.
method Analyzing sequences of asymptotically geodesic hypersurfaces and their properties.
result If a closed hyperbolic manifold contains a sequence of asymptotically geodesic hypersurfaces, its fundamental group is virtually special and linear over integers.

This research classifies deformations of Yang-Baxter operators using cohomology of nn-Lie algebras.

problem Classifying deformations of Yang-Baxter operators via cohomology of nn-Lie algebras.
method Introducing a cohomology theory for nn-ary self-distributive objects, showing natural injections and isomorphisms, and constructing deformation theories.
result The self-distributive deformations classify the Yang-Baxter operator deformations, with nontrivial examples provided.

AIR-Net adapts low-rank regularization dynamically for better image completion.

problem Fixed low-rank regularization limits adaptability to different images.
method AIR-Net uses adaptive and implicit regularization parameterized by a dynamic Laplacian matrix.
result AIR-Net enhances implicit regularization and outperforms fixed methods in non-uniform missing data scenarios.

Gradient descent implicitly regularizes neural networks by penalizing large loss gradients.

problem How to optimize deep neural networks without explicit regularization.
method Backward error analysis to calculate implicit gradient regularization and demonstrate its effectiveness empirically.
result Implicit gradient regularization biases gradient descent toward flat minima, improving model robustness and test errors.

Choquet regularization improves exploration in RL.

problem Improving exploration in reinforcement learning.
method Introducing Choquet regularizers to measure and manage exploration, reformulating RL problems and deriving explicit solutions.
result Explicit optimal distributions and Choquet regularizers for various exploratory samplers.

The paper explores optimal regularizers for data sources, linking them to star bodies.

problem Understanding optimal regularizers for data sources.
method Investigates optimal regularizers for data distributions using star bodies and dual Brunn-Minkowski theory.
result Identifies optimal regularizers and assesses amenability to convex regularization.

A triangulation of a connected closed surface is called weakly regular if the action of its automorphism group on its vertices is transitive. A triangulation of a connected closed surface is called degree-regular if each of its vertices have the same degree. Clearly, a weakly regular triangulation is degree-regular. In…

2004-03-25abs ↗pdf ↗

In this article, we describe symplectic and complex toric spaces associated to the five regular convex polyhedra. The regular tetrahedron and the cube are rational and simple, the regular octahedron is not simple, the regular dodecahedron is not rational and the regular icosahedron is neither simple nor rational. We re…

2016-11-30abs ↗pdf ↗

Study uses property elicitation to understand how fairness regularizers affect optimal decisions.

problem Understanding how fairness regularizers change the optimal decision in predictive algorithms.
method Property elicitation to analyze the relationship between loss, regularization, and optimal decision.
result Necessary and sufficient condition for when a property changes with the addition of a regularizer.

Fiedler regularization uses spectral graph theory to improve neural network performance.

problem Improving neural network performance by penalizing weights based on connectivity.
method Uses the Fiedler value of the neural network's graph as a regularization tool, providing theoretical and computational methods.
result Demonstrates Fiedler regularization's effectiveness in improving neural network performance.

We establish continuous maximal regularity results for parabolic differential operators acting on sections of tensor bundles on Riemannian manifolds. As an application, we show that solutions to the Yamabe flow instantaneously regularize and become real analytic in space and time. The regularity result is obtained by i…

2013-09-09abs ↗pdf ↗

Improved optimal regularity for harmonic almost complex structures.

problem Establishing optimal regularity for harmonic almost complex structures.
method Quantitative stratification method and rectifiability of singular strata.
result Optimal regularity theory for energy minimizing harmonic almost complex structures.

Dropout is a simple but effective technique for learning in neural networks and other settings. A sound theoretical understanding of dropout is needed to determine when dropout should be applied and how to use it most effectively. In this paper we continue the exploration of dropout as a regularizer pioneered by Wager,…

2014-12-15abs ↗pdf ↗

Regularization plays an important role in generalization of deep neural networks, which are often prone to overfitting with their numerous parameters. L1 and L2 regularizers are common regularization tools in machine learning with their simplicity and effectiveness. However, we observe that imposing strong L1 or L2 reg…

2018-11-20abs ↗pdf ↗

We study the evolution equations for a regularized version of Dirac-geodesics, which are the one-dimensional version of Dirac-harmonic maps. We show that for the regularization being sufficiently large, the evolution equations subconverge to a regularized Dirac-geodesic. In the end, we discuss the limiting process of r…

2013-11-14abs ↗pdf ↗

Entropy-regularized NPG converges linearly with linear function approximation.

problem Analyzing convergence of entropy-regularized NPG with function approximation.
method Established finite-time convergence analyses with entropy regularization and linear function approximation.
result Entropy-regularized NPG achieves linear convergence up to a function approximation error.

Regularized linear regression improves binary classification performance, especially with ridge and 1\ell_1 regularization.

problem Improving binary classification accuracy with noisy labels.
method Systematic study of regularization strengths on linear classifiers trained on noisy binary classification data.
result Ridge regression consistently improves classification error, while 1\ell_1 regularization can induce sparsity and \ell_\infty regularization can concentrate weights to two values.

New algorithm adds Hessian regularization to improve neural network robustness.

problem Improving neural network robustness against adversarial attacks.
method Proposes an efficient algorithm to train neural networks with Hessian operator-norm regularization.
result Hessian operator-norm regularization increases neural network robustness over input gradient regularization.

Study slice-regular polynomial functions via twistor space group actions.

problem Characterize slice-regular functions and their polynomial subclasses.
method Employ the twistor construction and group actions of PGL(2,H)\mathrm{PGL}(2,\mathbb{H}).
result Characterize slice-regular functions with planar twistor lifts and normal classes of polynomials.

Selective state-adaptive regularization improves offline RL performance.

problem Extrapolation errors and value overestimation in static dataset RL.
method State-adaptive regularization coefficients trust Bellman-driven results selectively.
result Significant improvement in performance on D4RL benchmark.

New framework assesses regularization norms in ill-posed problems, revealing L2 instability and proposing adaptive fractional RKHS solutions.

problem Comparative analysis of regularization norms in ill-posed problems.
method Small noise analysis framework for Tikhonov and RKHS regularizations.
result Optimal convergence rates achieved with adaptive fractional RKHS, but hyper-parameters decay too fast.