arXiv research

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

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

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

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

Bayesian optimisation for expensive experiments with shape prior.

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

BF-VI improves posterior approximation in complex models.

New method estimates density functionals using polynomial basis without full distribution knowledge.

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…

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…

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

Proof that certain complex equations have only simple solutions.

Develops a nonparametric method to estimate isotropic covariance functions efficiently.

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…

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…

Abstract: Summarizes Bernstein property results for differential equations.

New finite element method for complex forms in any dimension.

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

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

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

In this paper we study nonconvex penalization using Bernstein functions. Since the Bernstein function is concave and nonsmooth at the origin, it can induce a class of nonconvex functions for high-dimensional sparse estimation problems. We derive a threshold function based on the Bernstein penalty and give its mathemati…

In this paper we study nonconvex penalization using Bernstein functions whose first-order derivatives are completely monotone. The Bernstein function can induce a class of nonconvex penalty functions for high-dimensional sparse estimation problems. We derive a thresholding function based on the Bernstein penalty and di…

Ancient solutions to mean curvature flow have unique shapes.

New formulae derived for conformal symmetry breaking operators.

The study models insurance dependence using Bernstein copulas.

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

Improved understanding of translating solitons using new techniques.

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

Explains Bernstein theorems for various geometric PDEs.

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

Ancient symplectic solutions to mean curvature flow are flat.

In this paper, we prove some Bernstein type results for $n$-dimensional minimal Lagrangian graphs in quaternion Euclidean space $H^n\cong R^{4n}$. In particular, we also get a new Bernstein Theorem for special Lagrangian graphs in $C^n$

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

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

Simple proof shows Bernstein property fails for a minimal surface equation.

Improves Bernstein theorem for space-like graphs in Lorentz-Minkowski space.

Sharp inequalities for matrix means with unknown variance.

For entire spacelike stationary 2-dimensional graphs in Minkowski spaces, we establish Bernstein type theorems under specific boundedness assumptions either on the W-function or on the total (Gaussian) curvature. These conclusions imply the classical Bernstein theorem for minimal surfaces in 3-dimensional Euclidean spa…

Improves Bernstein theorem for zero mean curvature hypersurfaces in Lorentz-Minkowski space.

In this paper, we study the properties of potential function of the translating soliton $M$ in $R^{n+1}$ and the volume growth of the intersection of Euclidean balls with $M$. 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…

Paper proves stable minimal surfaces in 3D are flat.

Study Bernstein results for self-shrinking solutions in Lagrangian flow.

Simple proof for graph curvature in Gauss space leads to new theorems.

We obtain a Bernstein theorem for special Lagrangian graphs in n-dimensional complex space for arbitrary n only assuming bounded slope, but no quantitative restriction.

Minimal hypertori found in 4D sphere, solving Bernstein conjecture.

New inequality for ternary variables improves on existing measures.

We establish Bernstein Theorems for Lagrangian graphs which are Hamiltonian minimal or have conformal Maslov form. Some known results of minimal (Lagrangian) submanifolds are generalized.

Proves properties of hypersurfaces in Euclidean space.