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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.

168,742 papers · 148 categories

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20416181 · Jun 202019922001200920172026
48 results for Bernstein polynomials

The paper solves Bernstein problems for specific submanifolds in high-dimensional spaces.

problem Bernstein problem for smooth maps to lower dimensions forming calibrated submanifolds.
method Established conditions for maps to be affine based on the slope's second elementary symmetric polynomial.
result Conditions ensuring maps are affine for coassociative and Cayley submanifolds in R7\mathbb{R}^7 and R8\mathbb{R}^8.

This paper improves flow models to better handle perturbations in real-world data.

problem Flow models amplify initial errors in perturbed data, leading to poor generalization.
method Utilizes Bernstein-type polynomials to construct Normalizing Flows (NF) for higher robustness.
result Proposed NF framework provides theoretical upper bounds and practical advantages.

The paper proposes a new method for probabilistic load forecasting using Bernstein-Polynomial Normalizing Flows.

problem High variability in short-term load forecasting at the low-voltage level due to fluctuating demand and increasing electrification.
method Flexible conditional density forecasting based on Bernstein polynomial normalizing flows with neural network control.
result Density predictions outperform traditional methods for 24h-ahead load forecasting.

The study sharpens local Bernstein estimates for Laplace eigenfunctions on compact manifolds.

problem Understanding local growth properties of Laplace eigenfunctions on compact Riemannian manifolds.
method Refined Donnelly-Fefferman method based on L2L^{2}--Carleman estimates, combined with elliptic regularity and patching of local Carleman estimates.
result Almost sharp local LpL^{p}--Bernstein inequalities for p[1,]p\in[1,\infty].

A new method for high-dimensional classification using Bernstein polynomials.

problem Computational difficulties in high-dimensional SVM hinge loss.
method Proposes Bernstein support vector machine (BernSVM) and two efficient algorithms.
result Achieves a prediction accuracy rate of slog(p)/n\sqrt{s\log(p)/n} with high probability.

In this paper we use Bernstein and Chebyshev polynomials to approximate the price of some basket options under a bivariate Black-Scholes model. The method consists in expanding the price of a univariate related contract after conditioning on the remaining underlying assets and calculating the mixed exponential-power mo…

2014-04-11abs ↗pdf ↗

In this note, we prove that smooth self-shrinkers in $\Real^{n+1}$, that are entire graphs, are hyperplanes. Previously Ecker and Huisken showed that smooth self-shrinkers, that are entire graphs and have at most polynomial growth, are hyperplanes. The point of this note is that no growth assumption at infinity is need…

2009-12-09abs ↗pdf ↗

The paper equidistributes zeros of random polynomials and sections on manifolds.

problem Equidistribution of zeros of random polynomials and sections on manifolds.
method Weighted pluripotential theory, asymptotic Bernstein-Markov measures, variance estimation.
result Equidistribution holds for non-i.i.d. random coefficients and non-homogeneous manifolds.

Develops a nonparametric method to estimate isotropic covariance functions efficiently.

problem Estimating isotropic covariance functions without assuming a specific parametric form.
method Uses Bernstein polynomials and sieve maximum likelihood estimation.
result Consistent estimator with improved performance compared to parametric and nonparametric alternatives.

We utilize copulas to constitute a unified framework for constructing and optimizing variational proposals in hierarchical Bayesian models. For models with continuous and non-Gaussian hidden variables, we propose a semiparametric and automated variational Gaussian copula approach, in which the parametric Gaussian copul…

2015-06-19abs ↗pdf ↗

We give improved constants for data dependent and variance sensitive confidence bounds, called empirical Bernstein bounds, and extend these inequalities to hold uniformly over classes of functionswhose growth function is polynomial in the sample size n. The bounds lead us to consider sample variance penalization, a nov…

2009-07-21abs ↗pdf ↗

Adaptive Bernstein copulas improve risk management by preventing overfitting and reducing simulation effort.

problem Overfitting and high simulation effort in estimating dependence models.
method Constructive approach to Bernstein copulas with an admissible discrete skeleton.
result Comparison of different copula approaches in risk management shows improved accuracy and efficiency.

Derives a new maximum principle for Riemannian manifolds with volume growth constraints.

problem Maximum principles for functions on Riemannian manifolds with specific volume growth conditions.
method Derives a new maximum principle using vector fields and divergence conditions.
result Applies the principle to Bernstein-type results and existence of minimal submanifolds.

Survey Bernstein-type theorems for graphical surfaces in Euclidean and Lorentz-Minkowski spaces.

problem Proving theorems for minimal and constant mean curvature graphs in Euclidean and Lorentz-Minkowski spaces.
method Explains several proofs and provides mean curvature estimates for graphs in Euclidean and Lorentz-Minkowski spaces.
result Bernstein-type theorems for constant mean curvature graphs in Euclidean 3-space and space-like graphs in Lorentz-Minkowski 3-space.

Real world experiments are expensive, and thus it is important to reach a target in minimum number of experiments. Experimental processes often involve control variables that changes over time. Such problems can be formulated as a functional optimisation problem. We develop a novel Bayesian optimisation framework for s…

2018-09-19abs ↗pdf ↗

Improved analysis of UCRL2 with empirical Bernstein inequality reduces exploration-exploitation regret.

problem Exploration-exploitation in communicating Markov Decision Processes.
method Analysis of UCRL2 with Empirical Bernstein inequalities (UCRL2B).
result Regret bound of O~(DΓSAT)\widetilde{O}(\sqrt{DΓS A T}) for UCRL2B.

Analytic networks with bounded coefficients can't outperform polynomial approximations.

problem Approximation limits of neural networks with analytic activation functions under coefficient constraints.
method Deterministic analysis using comparison argument and Bernstein-type estimates.
result Networks with analytic activation functions and controlled coefficients cannot outperform classical polynomial approximation rates on non-analytic targets.

We will prove that \emph{there are no stable complete hypersurfaces of R4\mathbb{R}^4 with zero scalar curvature, polynomial volume growth and such that (K)H3c>0\dfrac{(-K)}{H^3}\geq c>0 everywhere, for some constant c>0c>0}, where KK denotes the Gauss-Kronecker curvature and HH denotes the mean curvature of the immersion. …

2013-05-24abs ↗pdf ↗

We present Bernstein-Sato identities for scalar-, spinor- and differential form-valued distribution kernels on Euclidean space associated to conformal symmetry breaking operators. The associated Bernstein-Sato operators lead to partially new formulae for conformal symmetry breaking differential operators on functions, …

2017-11-05abs ↗pdf ↗

The paper proves Calabi-Bernstein type results for minimal and maximal surfaces in 3D and 3D-L spacetime.

problem Characterizing minimal and maximal surfaces in 3D and 3D-L spacetime.
method Analyzing surfaces with specific properties and using geometric and functional methods.
result Calabi-Bernstein type results for critical points of a weighted area functional in R3\mathbb{R}^{3} and L3\mathbb{L}^{3}.

Article provides Bernstein gradient estimates for heat equations with potential terms.

problem Gradient estimates for heat equations with potential terms on weighted Riemannian manifolds.
method Derived Bernstein type gradient estimates for two systems of heat equations with linear, exponential, and combined potentials.
result Resolves part of the problem raised by Bhattacharyya et al. in \cite{SB-1}.

In this paper, we study the properties of potential function of the translating soliton MM in Rn+1R^{n+1} and the volume growth of the intersection of Euclidean balls with MM. We give a condition to obtain the Bernstein theorem for the translating solitons. We also give an outline of a simple proof of the Bernstein the…

2015-06-01abs ↗pdf ↗

The study proves that certain constant mean curvature surfaces in a specific cone are either spheres or horospheres.

problem Characterizing constant mean curvature surfaces in a three-dimensional light cone.
method Analyzing entire constant mean curvature graphs in the light cone Q+3\mathbb{Q}^3_+ under the condition of bounded Gaussian curvature.
result Entire constant mean curvature graphs in the light cone are either horospheres or spheres.