The class of second order ODE's cubic with respect to the first order derivative is considered. Using geometric structures associated with these equations, the subclasses of umbilical equations, zero mean curvature equations, and zero Gaussian curvature equations are defined. Zero mean curvature equations are studied w…
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.
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We extend the Heegaard Floer homological definition of spectral order for closed contact 3-manifolds due to Kutluhan, Matić, Van Horn-Morris, and Wand to contact 3-manifolds with convex boundary. We show that the order of a codimension zero contact submanifold bounds the order of the ambient manifold from above. As the…
We consider the case of derivative-free algorithms for non-convex optimization, also known as zero order algorithms, that use only function evaluations rather than gradients. For a wide variety of gradient approximators based on finite differences, we establish asymptotic convergence to second order stationary points u…
Study meromorphic k-differentials with prescribed singularities on Riemann surfaces.
In a previous analysis the problem of "zero-inflated" time data (caused by high frequency trading in the electronic order book) was handled by left-truncating the inter-arrival times. We demonstrated, using rigorous statistical methods, that the Weibull distribution describes the corresponding stochastic dynamics for a…
Study optimizes zero-order strongly convex function minimization with higher order smoothness.
We obtain an ordering of closed aspherical 4-manifolds that carry a non-hyperbolic Thurston geometry. As application, we derive that the Kodaira dimension of geometric 4-manifolds is monotone with respect to the existence of maps of non-zero degree.
The paper analyzes the efficiency of gradient estimation methods in noisy function evaluations.
CyBeR-0 optimizes federated learning with Byzantine resilience and reduced communication costs.
The paper calculates area Siegel--Veech constants for specific submanifolds of REL zero.
In this paper we provide a family of algebraic space-like surfaces in the three dimensional anti de Sitter space that shows that this Lorentzian manifold admits algebraic maximal examples of any order. Then, we classify all the space-like order two algebraic maximal hypersurfaces in the anti de Sitter -dimensional s…
Defines a new knot invariant and studies its properties.
A new algorithm optimizes softmax units in large language models.
We study the local invariants that a meromorphic -differential on a Riemann surface of genus can have. These local invariants are the orders of zeros and poles, and the -residues at the poles. We show that for a given pattern of orders of zeroes, there exists, up to a few exceptions, a primitive -diff…
New algorithm optimizes convex functions with noisy evaluations in one dimension.
A new gradient estimator for online optimization with two function evaluations.
Linear statistics of random zero sets are integrals of smooth differential forms over the zero set and as such are smooth analogues of the volume of the random zero set inside a fixed domain. We derive an asymptotic expansion for the variance of linear statistics of the zero divisors of random holomorphic sections of p…
New approach to handle ranking function variation in zero-shot NAS.
We define a set of "second-order" L^(2)-signature invariants for any algebraically slice knot. These obstruct a knot's being a slice knot and generalize Casson-Gordon invariants, which we consider to be "first-order signatures". As one application we prove: If K is a genus one slice knot then, on any genus one Seifert …
The paper diagnoses factor models using characteristic axes and zero-curve restrictions.
ZeroS improves Transformers by adding negative weights, matching or beating softmax attention.
Recently, we proposed to transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model the linear dependencies instead. We continue the work by firstly introducing a third transformation to normalize the scal…
Third-order symmetric Lorentzian manifolds, i.e. Lorentzian manifold with zero third derivative of the curvature tensor, are classified. These manifolds are exhausted by a special type of pp-waves, they generalize Cahen-Wallach spaces and second-order symmetric Lorentzian spaces.
We analyze analytic approximation formulae for pricing zero-coupon bonds in the case when the short-term interest rate is driven by a one-factor mean-reverting process with a volatility nonlinearly depending on the interest rate itself. We derive the order of accuracy of the analytical approximation due to Choi and Wir…
Zero-inflated datasets, which have an excess of zero outputs, are commonly encountered in problems such as climate or rare event modelling. Conventional machine learning approaches tend to overestimate the non-zeros leading to poor performance. We propose a novel model family of zero-inflated Gaussian processes (ZiGP) …
Study describes how to realize periods of meromorphic differentials with specific properties.
Equity auctions show linear price impact up to a large volume, then non-linear.
We consider the closely related problems of bandit convex optimization with two-point feedback, and zero-order stochastic convex optimization with two function evaluations per round. We provide a simple algorithm and analysis which is optimal for convex Lipschitz functions. This improves on \cite{dujww13}, which only p…
Paper proposes copula-based models for analyzing multivariate zero-inflated continuous data.
We consider the problem of selecting non-zero entries of a matrix in order to produce a sparse sketch of it, , that minimizes . For large matrices, such that (for example, representing observations over attributes) we give sampling distributions that exhibit four importa…
Gradient descent struggles to achieve zero loss in deep learning models due to non-generic data distributions.
All anti-self-dual Einstein metrics with non-zero cosmological constant arise from a single second-order PDE.
Consider a nontrivial solution to a semilinear elliptic system of first order with smooth coefficients defined over an -dimensional manifold. Assume the operator has the strong unique continuation property. We show that the zero set of the solution is contained in a countable union of smooth -dimensional subm…
We describe a conjectural formula via intersection numbers for the Masur-Veech volumes of strata of quadratic differentials with prescribed zero orders, and we prove the formula for the case when the zero orders are odd. For the principal strata of quadratic differentials with simple zeros, the formula reduces to compu…
The paper develops further the theory of quandle rings which was introduced by the authors in a recent work. Orderability of quandles is defined and many interesting examples of orderable quandles are given. It is proved that quandle rings of left or right orderable quandles which are semi-latin have no zero-divisors. …
In this paper we prove that, given a compact four dimensional smooth Riemannian manifold (M,g) with smooth boundary there exists a metric conformal to g with constant T-curvature, zero Q-curvature and zero mean curvature under generic and conformally invariant assumptions. The problem amounts to solving a fourth order …
We examine the fixed points to first-order RG flow of a non-linear sigma model with background metric, dilaton and tachyon fields. We show that on compact target spaces, the existence of fixed points with non-zero tachyon is linked to the sign of the second derivative of the tachyon potential (this is the anal…
Study finds financial constraints explain zero-leverage firms.
We study the problem of isometrically embedding a two-dimensional Riemannian manifold into Euclidean three-space. It is shown that if Gaussian curvature vanishes to finite order and its zero set consists of two smooth curves tangent at a point, then local sufficiently smooth isometric embedding exists.
This paper studies the Glosten Milgrom model whose risky asset value admits an arbitrary discrete distribution. Contrast to existing results on insider's models, the insider's optimal strategy in this model, if exists, is not of feedback type. Therefore a weak formulation of equilibrium is proposed. In this weak formul…
We study a normalized version of the second order renormalization group flow on closed Riemannian surfaces. We discuss some general properties of this flow and establish several basic formulas. In particular, we focus on surfaces with zero and positive Euler characteristic.
A new model predicts price concavity and reversion after metaorder execution.
The study finds smooth structures on specific 4-manifolds with even fundamental groups.
Researchers confirm a conjecture about metrics on a specific Teichmüller space.
Study describes how to realize periods of holomorphic differentials with specific properties.
We prove that there are not algebraic hypersurfaces of degree 3 in with non zero constant mean curvature.
This paper shows how to construct Abelian differentials with any prescribed singularities.
Enhanced Tweedie model for insurance claims using CatBoost.