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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.

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4385128170 · May 202619922001200920182026
48 results for splitting rank

Let K be a knot of genus g. If K is fibered, then it is well known that the knot group pi(K) splits only over a free group of rank 2g. We show that if K is not fibered, then pi(K) splits over non-free groups of arbitrarily large rank. Furthermore, if K is not fibered, then pi(K) splits over every free group of rank at …

2013-08-29abs ↗pdf ↗

Study calculates the maximal dimension of totally geodesic submanifolds in symmetric spaces.

problem Understanding the maximal dimension of totally geodesic submanifolds in symmetric spaces.
method Defined and computed the splitting rank for symmetric spaces, and analyzed bounded cohomology.
result Explicitly computed the splitting rank for each irreducible symmetric space and showed the surjectivity of a comparison map.

A new method selects variables for random survival forests using maximally selected rank statistics.

problem Random survival forests can be biased in selecting variables, especially for non-linear effects.
method Use maximally selected rank statistics for variable selection in random survival forests, comparing on p-value scale.
result The new method outperforms other approaches in prediction performance and computational speed.

We prove that any isometry of the graph of cyclic splittings of a finitely generated free group FNF_N of rank N3N\ge 3 is induced by an outer automorphism of FNF_N. The same statement also applies to the graphs of maximally-cyclic splittings, and of very small splittings.

2014-06-25abs ↗pdf ↗

iSplit LBI predicts individualized partial rankings from ties, outperforming state-of-the-art methods.

problem Predicting partial rankings from pairwise comparisons with ties, considering individual preferences.
method Variable splitting-based algorithm (iSplit LBI) that generates a sequence of estimations with a regularization path, decomposing parameters into abnormal signals, personalized signals, and random noise.
result iSplit LBI significantly outperforms state-of-the-art alternatives in predicting individualized partial rankings.

Study new invariant to measure flat directions on complex manifolds.

problem Investigate numerical rank invariant on projective Kähler manifolds with semi-negative holomorphic sectional curvature.
method Introduce and analyze a new differential geometric numerical rank invariant.
result Bounding the new invariant by nef dimension and numerical Kodaira dimension.

SBSS uses similarity to split data for better classifier training.

problem Training better classifiers with realistic performance estimation.
method SBSS uses both input and output space information to split data using similarity functions.
result SBSS outperformed ordinary stratified 10-fold cross-validation in 75% of scenarios.

This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a classification tree. We propose to optimize the splitting objective by learning a linear transformation on subspaces using nuclear norm as the optimization criteria. The le…

2013-12-19abs ↗pdf ↗

A new method identifies class-specific covariates in multi-class prediction tasks.

problem Identifying covariates specifically associated with one or more outcome classes in multi-class prediction tasks.
method Introducing multi forests (MuFs) with multi-way and binary splits to measure class-associated discriminatory ability.
result The multi-class VIM specifically ranks class-associated covariates highly, unlike conventional VIMs.

Cao's splitting theorem says that for any complete Kähler-Ricci flow (M,g(t))(M,g(t)) with t[0,T)t\in [0,T), MM simply connected and nonnegative bounded holomorphic bisectional curvature, (M,g(t))(M,g(t)) is holomorphically isometric to $\C^k\times (N,h(t))$ where (N,h(t))(N,h(t)) is a Kahler-Ricci flow with positive Ricci curvature for $t…

2011-09-12abs ↗pdf ↗

We prove that given a Hitchin representation in a real split rank 2 group G0\mathsf G_0, there exists a unique equivariant minimal surface in the corresponding symmetric space. As a corollary, we obtain a parametrization of the Hitchin components by a Hermitian bundle over Teichmüller space. The proof goes through intr…

2014-06-18abs ↗pdf ↗

Let G be the real points of a semisimple algebraic Q-group, let H be an arithmetic subgroup of G and let T be the real points of an R-split torus in G. We prove that if there is a divergent T-orbit in G/H, and Q-rank(G) > 1, then the dimension of T is not larger than Q-rank(G). This provides a partial answer to a quest…

2004-09-08abs ↗pdf ↗

Paper proposes a novel SVM method for creating survival trees.

problem Creating non-linear survival trees for right-censored data.
method L2-regularized dipole splitting criteria with kernel methods.
result Non-linear splits using polynomial and Gaussian kernels show similar predictive power but often smaller tree sizes.

We show that if MM is a fibered, orientable 3-manifold, and if π1Mπ_1 M has 1-relator presentation, then the presentation is induced by a Heegaard splitting of MM. A corollary is that, for these manifolds, the rank of π1Mπ_1 M is equal to the "restricted" Heegaard genus of MM. We also explore the analogy between 1-rel…

2006-08-25abs ↗pdf ↗

Study shows infinite volumes of moduli spaces for certain groups.

problem Infinite volumes of Hitchin-Riemann moduli spaces for specific groups.
method Employed Goldman flows to find infinite disjoint subsets of identical volume.
result Proved infinite Atiyah-Bott-Goldman covolume for mapping class group actions.

PSI-LinUCB improves scalability for large recommender systems.

problem Efficiently training and inferring for large action spaces in recommender systems.
method Represent inverse design matrix as diagonal + low-rank correction, derive stable rank-1 and batched updates, use projector-splitting integrator.
result Demonstrated effectiveness on recommender system datasets, achieving scalable training and inference.

An almost complex structure J on a 4-manifold X may be described in terms of a rank 2 vector bundle E. A splitting of J consists of a pair of line bundles spanning E. A hypersurface M in X satisfying a nondegeneracy condition inherits a CR-structure from J and a path geometry from the splitting. Using the Cartan-Kähler…

2012-02-06abs ↗pdf ↗

Rank inequality proven for annular Khovanov homology of 2-periodic links.

problem Proving a rank inequality for annular Khovanov homology of 2-periodic links.
method Spectral sequence analysis with quantum and sl2 weight spaces.
result Proven rank inequality rank AKhj,k(L)rank AKh2jk,k(ildeL)rank\ AKh^{j,k}(L) \leq rank\ AKh^{2j-k,k} ( ilde L).

Complete classification of sub-Riemannian spaces with step and rank three.

problem Classifying sub-Riemannian model spaces with specific step and rank.
method Complete classification based on nilpotentization and algebra realization.
result No nontrivial sub-Riemannian model spaces of step and rank three with free nilpotentization.

Tests factor models by decomposing market into body and tail legs, revealing inconsistent results.

problem Inconsistency between factor models and market behavior.
method Decomposes market into body and tail legs, testing factor models at daily and monthly frequencies.
result q5 model shows inconsistent results, with negative body and positive tail alphas at all split ratios.

Computes the decomposition of rank-three bundles over the projective line with three marked points.

problem Decomposing rank-three bundles over the projective line with three marked points.
method Using the monodromy derivative to compute the roots of the bundles.
result Computes the exact decomposition of rank-three bundles for m=3m = 3.

We characterize complete nonnegatively curved steady gradient soliton with curvature in L^1. We show that there are isometric to a product (R^2,g_{cigar}) times(R^{n-2}, eucl))/Gamma where Gamma is a Bieberbach group of rank n-2. We prove also a similar local splitting result under weaker curvature assumptions.

2011-01-03abs ↗pdf ↗

Gradient descent recovers low-rank matrices from random rank-one measurements.

problem Recovering low-rank matrices from random rank-one measurements.
method Directly estimate the low-rank factor by minimizing a nonconvex quadratic loss function via vanilla gradient descent with tailored spectral initialization.
result The algorithm converges to the ground truth with near-optimal sample and computational complexity when the true rank is small.

Researchers compute the rank and trace of Kauffman bracket skein algebra over its center.

problem Computing the rank and trace of Kauffman bracket skein algebra.
method Using finite type surfaces and complex roots of unity, they compute the rank and trace of Kζ(F)K_ζ(F) over its center.
result They extend a theorem about the skein algebra having a splitting coming from two pants decompositions of FF.

This work analyzes tree-based methods from a ranking perspective, providing insights and new statistics.

problem Understanding the effectiveness of tree-based methods in finite-sample settings, especially symbolic feature selection.
method Local ranking perspective, finite-sample analysis, oracle bounds, posterior contraction results, concordant divergence statistics.
result New insights and statistics for evaluating symbolic feature mappings.