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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.

169,181 papers · 148 categories

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48 results for quadratic measurements

The Heights Theorem is extended to all Riemann surfaces with a first kind fundamental group.

problem Establishing the Heights Theorem for all Riemann surfaces.
method Extending the theorem to all surfaces with a first kind fundamental group, using measured laminations and straightening horizontal trajectories.
result The horizontal map is injective for arbitrary Riemann surfaces with a conformal hyperbolic metric.

Quadratic differentials on punctured surfaces link foliations and metric graphs.

problem Understanding the structure of quadratic differentials on punctured surfaces.
method Introducing asymptotic directions and analyzing foliations and metric graphs.
result A unique meromorphic quadratic differential can be constructed for any prescribed horizontal foliation.

Optimizing option exercise policies based on variance optimal martingale measure can lead to unappealing results.

problem Optimizing American option exercise policies under the variance optimal martingale measure can result in unappealing policies.
method Optimizing option exercise policies under the variance optimal martingale measure, then anchoring to the resulting value of this policy.
result Optimizing option exercise policies based on the variance optimal martingale measure can lead to unappealing results.

Volume of unit balls defined by quadratic differentials is not proper and has integrable volume.

problem Characterizing the behavior of volume functions associated with quadratic differentials.
method Analyzing the Thurston volume of unit balls in measured lamination spaces.
result The volume function is not proper and is pp-integrable for any 0<p<10<p<1.

Quadratic-time algorithm computes stretch factors and foliations for pseudo-Anosov mapping classes.

problem Computing stretch factors and foliations for pseudo-Anosov mapping classes efficiently.
method Quadratic-time algorithm using input word and length as complexity measure.
result First algorithm to compute stretch factors and foliations in sub-exponential time.

The study characterizes infinite Riemann surfaces and their foliations using quadratic differentials.

problem Characterizing infinite Riemann surfaces and their foliations using quadratic differentials.
method Extending Hubbard-Masur theorem to infinite surfaces and analyzing Jenkins-Strebel differentials.
result Density of Jenkins-Strebel differentials and extension of Kerckhoff's formula for Teichmüller metric.

Using Vovk's outer measure, which corresponds to a minimal superhedging price, the existence of quadratic variation is shown for "typical price paths" in the space of càdlàg functions possessing a mild restriction on the jumps directed downwards. In particular, this result includes the existence of quadratic variation …

2016-09-08abs ↗pdf ↗

Thurston's boundary to the universal Teichmüller space T(D)T(\mathbb{D}) is the space PMLbdd(D)PML_{bdd}(\mathbb{D}) of projective bounded measured laminations of D\mathbb{D}. A geodesic ray in T(D)T(\mathbb{D}) is of Teichmüller type if it shrinks vertical foliation of an integrable holomorphic quadratic differential. In a prio…

2015-05-28abs ↗pdf ↗

Paper tackles measure estimation in barycentric coding model.

problem Estimating an unknown measure in the barycentric coding model.
method Geometric, statistical, and computational insights; quadratic optimization problem; empirical i.i.d. samples algorithm.
result Proves precise rates of convergence for algorithm, ensuring statistical consistency.

We discuss the class of "Quadratic Normal Volatility" models, which have drawn much attention in the financial industry due to their analytic tractability and flexibility. We characterize these models as the ones that can be obtained from stopped Brownian motion by a simple transformation and a change of measure that o…

2012-02-28abs ↗pdf ↗

Study on Teichmüller rays' asymptotic behavior and distances.

problem Understanding the asymptotic behavior of Teichmüller rays.
method Explicit formula derivation for limiting Teichmüller distance under specific conditions.
result Two Teichmüller rays are asymptotic if their vertical measured foliations are modularly equivalent and their limit surfaces coincide.

We consider random walks on the mapping class group that have finite first moment with respect to the word metric, whose support generates a non-elementary subgroup and contains a pseudo-Anosov map whose invariant Teichmuller geodesic is in the principal stratum of quadratic differentials. We show that a Teichmuller ge…

2017-06-06abs ↗pdf ↗

The paper studies optimal transport in linear quadratic systems and derives interpolation inequalities.

problem Optimal transport problem in Linear Quadratic optimal control systems.
method Well-posedness of the Monge problem, regularity of optimal transport map, displacement interpolation of measures.
result Derivation of general interpolation inequalities for entropy functionals.

Study sharp convergence rates of empirical UOT for spatio-temporal point processes.

problem Statistical analysis of UOT for spatio-temporal point processes.
method Empirical plug-in estimators for Kantorovich-Rubinstein distance between intensity measures.
result Sharp convergence rates of empirical UOT in terms of intrinsic dimensions of measures.

Study proves existence of equilibrium in incomplete economies with discontinuous volatility.

problem Existence of incomplete Radner equilibrium with nondegenerate endogenous volatility.
method Established existence of solution for Markovian quadratic BSDEs with discontinuous generators using unique continuation and backward uniqueness.
result Existence of incomplete Radner equilibrium with nondegenerate endogenous volatility.

Paper introduces a new outer measure for continuous price paths with instant enforcement.

problem Defining a new outer measure for continuous price paths with instant enforcement.
method Introducing an outer measure on the space [0,+)imesΩ[0, +\infty) imes \Omega that assigns zero value to instantly blockable sets.
result Proves BDG inequalities and an Itô-type integral for the modified measure.

Proposes a linear dimension reduction method for high-dimensional classification.

problem High-dimensional classification with unequal covariance matrices.
method Simultaneous variable selection and linear dimension reduction followed by quadratic discriminant analysis.
result The method doesn't require estimating precision matrices and scales linearly with the number of measurements.

The paper studies how hyperbolic surfaces degenerate along harmonic map rays.

problem The degeneration of hyperbolic surfaces along harmonic map rays.
method Using Teichmüller space and holomorphic quadratic differentials, the authors show convergence of rescaled distance functions to the intersection number with a vertical measured foliation.
result Hyperbolic surfaces along the ray converge to the dual R-tree of the vertical measured foliation in the sense of Gromov-Hausdorff.

We apply a quadratic hedging scheme developed by Foellmer, Schweizer, and Sondermann to European contingent products whose underlying asset is modeled using a GARCH process and show that local risk-minimizing strategies with respect to the physical measure do exist, even though an associated minimal martingale measure …

2009-04-07abs ↗pdf ↗

Let Q be a connected component of a stratum in the space of quadratic differentials for a non-exceptional Riemann surface of finite type. We show that the probability measure on Q in the Lebesgue measure class which is invariant under the Teichmueller flow is obtained by Bowen's construction.

2010-07-14abs ↗pdf ↗

A new stochastic volatility model with quadratic drift prevents moment explosions and preserves stock price martingale property.

problem Avoiding moment explosions and preserving stock price martingale property in stochastic volatility models.
method Introduces a one-factor stochastic volatility model with quadratic drift and a linear dispersion function, showing that the quadratic term is crucial.
result The model prevents moment explosions and preserves the martingale property of the stock price process.

Gradient descent implicitly regularizes over-parameterized matrix factorization and neural networks with quadratic activations.

problem Implicit regularization in over-parameterized models with quadratic activations.
method Gradient descent applied to parameterizing UUopUU^ op with URdimesdU\in \mathbb R^{d imes d} to recover a rank rr positive semidefinite matrix XX^{\star}.
result Gradient descent recovers XX^{\star} in ildeO(r) ilde{O}(\sqrt{r}) iterations starting from a small initialization.

Quantization-aware phase retrieval algorithm improves signal reconstruction accuracy.

problem Reconstructing signals from quantized phase measurements.
method Developed a rank-1 projection algorithm with consistency criterion using one-sided quadratic cost.
result The algorithm achieves higher reconstruction accuracy and is closer to the Cramér-Rao lower bound.

This study analyzes the quadratic Wasserstein metric's effects on inverse data matching.

problem Analyzing the quadratic Wasserstein metric's impact on inverse data matching.
method Characterizes and numerically analyzes the smoothing effect and convexity improvement of W2W_2 distance.
result The W2W_2 distance improves convexity and reduces resolution for reconstructed objects at a given noise level.

Quadratic differentials on Riemann surfaces uniquely determine foliations.

problem Understanding the relationship between quadratic differentials and foliations on Riemann surfaces.
method Extending prior results to arbitrary Fuchsian groups, analyzing measured foliations and their Dirichlet integrals.
result A finite-area holomorphic quadratic differential uniquely determines a horizontal foliation on a Riemann surface.

This paper concerns integral varifolds of arbitrary dimension in an open subset of Euclidean space with its first variation given by either a Radon measure or a function in some Lebesgue space. Pointwise decay results for the quadratic tilt-excess are established for those varifolds. The results are optimal in terms of…

2009-09-17abs ↗pdf ↗

CWGD measures gradient diversity weighted by curvature, improving SGD convergence.

problem Gradient noise in high-curvature directions is underestimated by standard methods.
method CWGD weights gradient diversity by the inverse square root of the Hessian.
result CWGD-Cosine reduces optimization error by up to 20% compared to standard cosine annealing.

Paper addresses quadratic feasibility problems and their sample complexity.

problem Recovering complex vectors from quadratic measurements.
method Analyzes conditions for identifiability and explores optimization landscape.
result Gradient algorithms can converge to globally optimal solutions with high probability.

In this article, we follow the study of quadratic backward SDEs with jumps,that is to say for which the generator has quadratic growth in the variables (z; u), started in our accompanying paper [15]. Relying on the existence and uniqueness result of [15], we define the corresponding g-expectations and study some of the…

2014-03-06abs ↗pdf ↗

This paper solves quadratic systems with sparse or generative priors.

problem Recovering signals from quadratic systems with full-rank matrices.
method Thresholded Wirtinger flow (TWF) and projected gradient descent (PGD) algorithms.
result The proposed methods significantly outperform existing algorithms in signal recovery.

The paper provides a representation for dynamic risk measures and capital allocations.

problem Representation of dynamic risk measures and capital allocations under Itô-Lévy model.
method Representation theorem for dynamic capital allocation derived from BSDEs with quadratic-exponential growth.
result Derivation of a capital allocation representation for dynamic entropic risk measure and static coherent risk measure.

New formulations for comparing metric measure spaces with arbitrary positive measures.

problem Comparing metric measure spaces with arbitrary positive measures.
method Two novel formulations: a divergence and a conic lifting approach.
result Efficiently solvable formulations for comparing metric spaces with arbitrary positive measures.