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Related papers: The submodularity of the covolume function in glob…

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This paper is devoted to the study of generalized differentiation properties of the infimal convolution. This class of functions covers a large spectrum of nonsmooth functions well known in the literature. The subdifferential formulas…

Optimization and Control · Mathematics 2014-11-04 Nguyen Mau Nam , Dang Van Cuong

In our preceding article, we defined a generalized lambda function and showed that the genaralized lambda function and the modular invariant function generate the modular function field with respect to a principal congruence subgroup. In…

Number Theory · Mathematics 2015-11-26 Noburo Ishii

In a nutshell, submodular functions encode an intuitive notion of diminishing returns. As a result, submodularity appears in many important machine learning tasks such as feature selection and data summarization. Although there has been a…

Data Structures and Algorithms · Computer Science 2018-03-19 Marko Mitrovic , Moran Feldman , Andreas Krause , Amin Karbasi

In this paper, we introduce the notion of globalization for partial module coalgebra and for partial comodule coalgebra. We show that every partial module coalgebra is globalizable exhibiting a standard globalization. We also show the…

Rings and Algebras · Mathematics 2019-11-26 Felipe Castro , Glauber Quadros

In this paper we investigate k-submodular functions. This natural family of discrete functions includes submodular and bisubmodular functions as the special cases k = 1 and k = 2 respectively. In particular we generalize the known…

Discrete Mathematics · Computer Science 2013-09-24 Anna Huber , Vladimir Kolmogorov

We study the moduli and determine a homotopy type of the space of all generalized Morse functions on d-manifolds for given d. This moduli space is closely connected to the moduli space of all Morse functions studied in the paper…

Algebraic Topology · Mathematics 2010-04-19 Boris Botvinnik , Ib Madsen

We introduce different classical characteristics used to regularize a subharmonic function and compare them. As an application we give a complete proof of a useful characterization of the modulus of continuity of such functions in terms of…

Complex Variables · Mathematics 2020-07-17 Ahmed Zeriahi

A general theory of vector-valued modular functions, holomorphic in the upper half-plane, is presented for finite dimensional representations of the modular group. This also provides a description of vector-valued modular forms of arbitrary…

Number Theory · Mathematics 2007-05-23 P. Bantay , T. Gannon

We establish analogues in the context of group actions or group representations of some classical problems and results in additive combinatorics of groups. We also study the notion of left invariant submodular function defined on power sets…

Combinatorics · Mathematics 2024-04-17 Vincent Beck , Cédric Lecouvey

Submodular function minimization is a key problem in a wide variety of applications in machine learning, economics, game theory, computer vision, and many others. The general solver has a complexity of $O(n^3 \log^2 n . E +n^4 {\log}^{O(1)}…

Data Structures and Algorithms · Computer Science 2017-01-25 Srikumar Ramalingam , Chris Russell , Lubor Ladicky , Philip H. S. Torr

Submodularity is an important concept in combinatorial optimization, and it is often regarded as a discrete analog of convexity. It is a fundamental fact that the set of minimizers of any submodular function forms a distributive lattice.…

Discrete Mathematics · Computer Science 2019-10-14 Tomohito Fujii , Shuji Kijima

We introduce a notion of covolume for point sets in locally compact groups that simultaneously generalizes the covolume of a lattice and the reciprocal of the Beurling density for amenable, unimodular groups. This notion of covolume arises…

Functional Analysis · Mathematics 2024-11-15 Ulrik Enstad , Sven Raum

We show that all non-negative submodular functions have high {\em noise-stability}. As a consequence, we obtain a polynomial-time learning algorithm for this class with respect to any product distribution on $\{-1,1\}^n$ (for any constant…

Machine Learning · Computer Science 2011-06-14 Mahdi Cheraghchi , Adam Klivans , Pravesh Kothari , Homin K. Lee

We study a coderivation from a cobimodule into a coalgebra. Vector cofields are defined by the action of a codual bicomodule on a coalgebra. This action is induced by a codifferential. A construction of a codual object in the category of…

Quantum Algebra · Mathematics 2009-10-31 A. Borowiec , G. A. Vazquez Coutino

Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of convex functions, and can be minimized in strongly polynomial…

Machine Learning · Computer Science 2015-03-17 Peter Stobbe , Andreas Krause

In this manuscript, we offer a gentle review of submodularity and supermodularity and their properties. We offer a plethora of submodular definitions; a full description of a number of example submodular functions and their generalizations;…

Machine Learning · Computer Science 2022-10-05 Jeff Bilmes

The concept and the construction of modular graph functions are generalized from genus-one to higher genus surfaces. The integrand of the four-graviton superstring amplitude at genus-two provides a generating function for a special class of…

High Energy Physics - Theory · Physics 2018-11-14 Eric D'Hoker , Michael B. Green , Boris Pioline

For a linear algebraic group $G$ over a field $k$, we define an equivariant version of the Voevodsky's motivic cobordism $MGL$. We show that this is an oriented cohomology theory with localization sequence on the category of smooth…

Algebraic Geometry · Mathematics 2012-06-27 Amalendu Krishna

A study of the gauged Wess-Zumino-Witten models is given focusing on the effect of topologically non-trivial configurations of gauge fields. A correlation function is expressed as an integral over a moduli space of holomorphic bundles with…

High Energy Physics - Theory · Physics 2015-06-26 Kentaro Hori

Submodular functions are well-studied in combinatorial optimization, game theory and economics. The natural diminishing returns property makes them suitable for many applications. We study an extension of monotone submodular functions,…

Discrete Mathematics · Computer Science 2014-11-18 Allan Borodin , Dai Tri Man Le , Yuli Ye