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Loss functions are a cornerstone of machine learning and the starting point of most algorithms. Statistics and Bayesian decision theory have contributed, via properness, to elicit over the past decades a wide set of admissible losses in…

Machine Learning · Computer Science 2020-11-06 Christian Walder , Richard Nock

We study the topology of polynomial functions by deforming them generically. We explain how the non-conservation of the total ``quantity'' of singularity in the neighbourhood of infinity is related to the variation of topology in certain…

Algebraic Geometry · Mathematics 2007-05-23 Dirk Siersma , Mihai Tibar

We introduce an upper semi-continuous function that stratifies the highest multiplicity locus of a hypersurface in arbitrary characteristic (over a perfect field). The blow-up along the maximum stratum defined by this function leads to a…

Algebraic Geometry · Mathematics 2011-06-14 Ana Bravo , Orlando Villamayor

Among plenty of applications, low-dimensional homogeneous spaces appear in cosmological models as both, classical factor spaces of multidimensional geometry and minisuperspaces in canonical quantization. Here a new tool to restrict their…

General Relativity and Quantum Cosmology · Physics 2016-08-31 M. Rainer

This paper studies locally linear involutions on S^4. Our main theorem shows that any such involution with a 1-dimensional fixed-point set is necessarily linear, provided the fixed-point set admits an equivariant tubular neighborhood. The…

Geometric Topology · Mathematics 2025-12-30 Keegan Boyle , Wenzhao Chen , Anthony Conway

We consider the class of $\lambda$-concave bodies in $\mathbb R^{n+1}$; that is, convex bodies with the property that each of their boundary points supports a tangent ball of radius $1/\lambda$ that lies locally (around the boundary point)…

Differential Geometry · Mathematics 2019-07-22 Roman Chernov , Kostiantyn Drach , Kateryna Tatarko

In this paper, we aim to introduce the concept of the Ouroboros space and the complimentary concept of the Ouroboros function by using the Ouroboros equation [1] as our starting point. We start with a few univariate definitions, and then…

Functional Analysis · Mathematics 2021-05-13 Nathan Thomas Provost

Subword complexes were defined by A.Knutson and E.Miller in 2004 for describing Gr\"obner degenerations of matrix Schubert varieties. The facets of such a complex are indexed by pipe dreams, or, equivalently, by the monomials in the…

Combinatorics · Mathematics 2022-08-24 Evgeny Smirnov , Anna Tutubalina

Parity is ubiquitous, but not always identified as a simplifying tool for computations. Using parity, having in mind the example of the bosonic/fermionic Fock space, and the framework of Z_2-graded (super) algebra, we clarify relationships…

Mathematical Physics · Physics 2016-11-23 Pierre Cartier , Cecile DeWitt-Morette , Matthias Ihl , Christian Saemann , Maria E. Bell

A sofic shift is a shift space consisting of bi-infinite labels of paths from a labelled graph. Being a dynamical system, the distribution of its closed orbits may indicate the complexity of the space. For this purpose, prime orbit and…

Dynamical Systems · Mathematics 2024-05-28 Azmeer Nordin , Mohd Salmi Md Noorani

The cohomology jump loci of a space $X$ are of two basic types: the characteristic varieties, defined in terms of homology with coefficients in rank one local systems, and the resonance varieties, constructed from information encoded in…

Geometric Topology · Mathematics 2022-01-07 Alexander I. Suciu

Let $\Omega$ be an open set in $\mathbb{R}^n$ with $C^1$-boundary and $\Sigma$ be the skeleton of $\Omega$, which consists of points where the distance function to $\partial\Omega$ is not differentiable. This paper characterizes the cut…

Analysis of PDEs · Mathematics 2020-10-15 Tatsuya Miura

Bayesian shrinkage methods have generated a lot of recent interest as tools for high-dimensional regression and model selection. These methods naturally facilitate tractable uncertainty quantification and incorporation of prior information.…

Computation · Statistics 2017-04-17 Bala Rajaratnam , Doug Sparks , Kshitij Khare , Liyuan Zhang

We present a non-standard proof of the fact that the existence of a local (i.e. restricted to a point) characteristic-zero, semi-parametric lifting for a variety defined by the zero locus of polynomial equations over the integers is…

Commutative Algebra · Mathematics 2017-07-26 Edisson Gallego , Danny A. J. Gomez-Ramirez , Juan D. Velez

For each $\Pi^0_1$ $S\subseteq \mathbb{N}$, let the $S$-square shift be the two-dimensional subshift on the alphabet $\{0,1\}$ whose elements consist of squares of 1s of various sizes on a background of 0s, where the side length of each…

Dynamical Systems · Mathematics 2016-09-27 Linda Brown Westrick

We propose a new method for the numerical computation of the cut locus of a compact submanifold of $\mathbb{R}^3$ without boundary. This method is based on a convex variational problem with conic constraints, with proven convergence. We…

Numerical Analysis · Mathematics 2020-06-18 François Générau , Édouard Oudet , Bozhidar Velichkov

The critical loci of a map $f:X\to Y$ between smooth schemes over a field $k$ are the locally closed subschemes $\Sigma^i(f)\subseteq X$ where the differential of $f$ has constant rank. We prove that if $f : X\to \mathbb A^r$ is the general…

Algebraic Geometry · Mathematics 2020-06-12 Lucas Braune

The "back-stabilization number" for products of Schubert polynomials is the distance the corresponding permutations must be shifted before the structure constants stabilize. We give an explicit formula for this number and thereby prove a…

Combinatorics · Mathematics 2025-01-27 Andrew Hardt , David Wallach

The stationary points of the total scalar curvature functional on the space of unit volume metrics on a given closed manifold are known to be precisely the Einstein metrics. One may consider the modified problem of finding stationary points…

Differential Geometry · Mathematics 2013-02-19 Justin Corvino , Michael Eichmair , Pengzi Miao

To construct flexible nonlinear predictive distributions, the paper introduces a family of softplus function based regression models that convolve, stack, or combine both operations by convolving countably infinite stacked gamma…

Machine Learning · Statistics 2016-08-24 Mingyuan Zhou