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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.

169,051 papers · 148 categories

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142285427569 · Jun 202019922001200920182026
48 results for non-trivial distributions

We develop a general theory for irreducible homogeneous spaces M=G/HM= G/H, in relation to the nullity νν of their curvature tensor. We construct natural invariant (different and increasing) distributions associated with the nullity, that give a deep insight of such spaces. In particular, there must exist an order-two tr…

2018-02-07abs ↗pdf ↗

Generative models learn to capture target distribution support with extreme value loss.

problem Mode collapse in generative models for non-trivial target distributions.
method Optimizing against the minimal value of the loss function, rather than the mean.
result Models trained with extreme value loss learn to capture the support of the target distribution.

Algorithm estimates multivariate normal parameters from hidden truncated samples.

problem Estimating parameters of multivariate normal distribution from hidden truncated samples.
method Efficient algorithm using polynomial-time estimation with oracle access to the subset S.
result Estimation of mean and covariance matrix with arbitrary accuracy.

Study calculates slope gaps on polygon surfaces, finding non-unimodal distributions.

problem Understanding the distribution of slope gaps on polygon surfaces.
method Explicit computation of slope gap distributions for 2n-gons, providing bounds on non-differentiability points.
result Slope gap distributions are not always unimodal, answering a question by Athreya.

Over-parameterized models reduce Out-of-Distribution (OOD) generalization loss.

problem Understanding how over-parameterized models handle non-trivial distributional shifts.
method Investigating random feature models and examining non-trivial natural distributional shifts.
result Increasing model parameterization reduces OOD loss.

We give a short proof that if a non-trivial band sum of two knots results in a tight fibered knot, then the band sum is a connected sum. In particular, this means that any prime knot obtained by a non-trivial band sum is not tight fibered. Since a positive L-space knot is tight fibered, a non-trivial band sum never yie…

2015-09-01abs ↗pdf ↗

We say that a graph is intrinsically non-trivial if every spatial embedding of the graph contains a non-trivial spatial subgraph. We prove that an intrinsically non-trivial graph is intrinsically linked, namely every spatial embedding of the graph contains a non-splittable 2-component link. We also show that there exis…

2008-04-26abs ↗pdf ↗

New knots found with non-trivial Steenrod operations on Khovanov homology.

problem Identifying knots with non-trivial Steenrod operations on Khovanov homology.
method Examined prime, hyperbolic, and satellite knots using Steenrod operations.
result Found knots (prime, hyperbolic, satellite) with non-trivial Steenrod operations on Khovanov homology.

We prove that the degenerate part of the distributive homology of a multispindle is determined by the normalized homology. In particular, when the multispindle is a quandle QQ, the degenerate homology of QQ is completely determined by the quandle homology of QQ. For this case (and generally for two term homology of …

2014-11-21abs ↗pdf ↗

Non-trivial action on surface configuration homology.

problem Understanding the Johnson filtration's action on surface configuration homology.
method Action of mapping class group on configuration space homology, focusing on Johnson filtration stages.
result Non-trivial action on the (n1)st(n-1)^{st} stage of the Johnson filtration for all n1n\ge 1 and g2g\ge 2.

We propose a new approach to the value distribution theory of entire holomorphic curves. We define a ``packing density'' of an entire holomorphic curve, and show that it has various non-trivial properties. We prove a ``gap theorem'' for holomorphic maps from elliptic curves to the complex projective space, and study th…

2006-05-13abs ↗pdf ↗

We solve exactly a simple model of trend following strategy, and obtain the analytical shape of the profit per trade distribution. This distribution is non trivial and has an option like, asymmetric structure. The degree of asymmetry depends continuously on the parameters of the strategy and on the volatility of the tr…

2005-08-16abs ↗pdf ↗

Let X be a compact Kahler manifold with a non-trivial holomorphic Poisson structure. Then there exist deformations of non-trivial generalized Kahler structures with one pure spinor on X. We prove that every Poisson submanifold of X is a generalized Kahler submanifold with respect to the deformed generalized Kahler stru…

2007-12-17abs ↗pdf ↗

Survey on closed-form Fisher-Rao distance expressions.

problem Finding closed-form expressions for Fisher-Rao distance.
method Collect and present examples of closed-form expressions for Fisher-Rao distance of discrete and continuous distributions.
result Presentation of closed-form expressions for Fisher-Rao distance of various distributions.

Paper proposes a framework to detect distribution shifts using embedding space geometry.

problem Detecting distribution shifts in candidate datasets to improve model generalizability.
method Non-parametric framework using embedding space geometry for two tests: robustness boundary and in-distribution/out-of-distribution classification.
result Both tests successfully detect distribution shifts in various scenarios for both synthetic and real-world datasets.

A method for learning distributions on complex manifolds using normalizing flows.

problem Learning distributions on non-Euclidean manifolds with high efficiency and accuracy.
method Learning a distribution on a manifold by combining local models that form an open cover.
result The method achieves better sample efficiency and competitive performance on manifolds of unknown topology.

In this paper, we study the colorability of link diagrams by the Alexander quandles. We show that if the reduced Alexander polynomial ΔL(t)Δ_{L}(t) is vanishing, then LL admits a non-trivial coloring by any non-trivial Alexander quandle QQ, and that if ΔL(t)=1Δ_{L}(t)=1, then LL admits only the trivial coloring by any Alexa…

2011-05-18abs ↗pdf ↗

The paper revisits a claim about a principal bundle over a contractible base and finds it non-trivial.

problem Investigating the properties of a specific quotient space construction over a smoothly contractible base.
method Revisiting a previous claim and using the concept of vector pseudo-bundles to redefine the structure as a non-trivial principal pseudo-bundle.
result The projection fails to satisfy the strict condition of local triviality, but the structure remains rich with a smooth, free, and fiber-transitive group action.

This paper highlights the size-dependency of income distributions, i.e. the income distribution curves versus the population of a country systematically. By using the generalized Lotka-Volterra model to fit the empirical income data in the United States during 1996-2007, we found an important parameter λλ can scale wi…

2010-12-09abs ↗pdf ↗

The paper constructs non-trivial cocycles for long embeddings with more than one loop.

problem Constructing non-trivial cocycles for long embeddings with more than one loop.
method Integral over configuration spaces associated with Bott-Cattaneo-Rossi graphs with more than one loop.
result Explicit construction of a non-trivial family of trivial long embeddings for odd dimensions.

The multivariate normal density is a monotonic function of the distance to the mean, and its ellipsoidal shape is due to the underlying Euclidean metric. We suggest to replace this metric with a locally adaptive, smoothly changing (Riemannian) metric that favors regions of high local density. The resulting locally adap…

2016-06-08abs ↗pdf ↗

A new metric predicts model performance on unseen data.

problem Predicting performance on out-of-distribution data without labels.
method Uses model predictions to pseudo-label data, trains a new model, and measures difference from in-distribution models.
result Empirically outperforms existing methods on image and text classification tasks.

For each odd prime p, and for each non-split link admitting non-trivial p-colorings, we prove that the maximum number of Fox colors is p. We also prove that we can assemble a non-trivial p-coloring with any number of colors, from the minimum to the maximum number of colors. Furthermore, for any rational link, we prove …

2012-05-07abs ↗pdf ↗

Some of the well known Fefferman like constructions of parabolic geometries end up with a new structure on the same manifold. In this paper, we classify all such cases with the help of the classical Onishchik's lists \cite{onish1} and we treat in detail the only new series of inclusions providing the spinorial structur…

2008-07-21abs ↗pdf ↗