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Submodular functions and variants, through their ability to characterize diversity and coverage, have emerged as a key tool for data selection and summarization. Many recent approaches to learn submodular functions suffer from limited…

Machine Learning · Computer Science 2022-10-21 Abir De , Soumen Chakrabarti

We give a unateness tester for functions of the form $f:[n]^d\rightarrow R$, where $n,d\in \mathbb{N}$ and $R\subseteq \mathbb{R}$ with query complexity $O(\frac{d\log (\max(d,n))}{\epsilon})$. Previously known unateness testers work only…

Data Structures and Algorithms · Computer Science 2016-08-30 Roksana Baleshzar , Meiram Murzabulatov , Ramesh Krishnan S. Pallavoor , Sofya Raskhodnikova

Optimization problems often involve vector norms, which has led to extensive research on developing algorithms that can handle objectives beyond the $\ell_p$ norms. Our work introduces the concept of submodular norms, which are a versatile…

Data Structures and Algorithms · Computer Science 2023-10-10 Kalen Patton , Matteo Russo , Sahil Singla

The classic problems of testing uniformity of and learning a discrete distribution, given access to independent samples from it, are examined under general $\ell_p$ metrics. The intuitions and results often contrast with the classic…

Data Structures and Algorithms · Computer Science 2015-03-24 Bo Waggoner

Let F = F_p for any fixed prime p >= 2. An affine-invariant property is a property of functions on F^n that is closed under taking affine transformations of the domain. We prove that all affine-invariant property having local…

Computational Complexity · Computer Science 2013-01-18 Arnab Bhattacharyya , Eldar Fischer , Hamed Hatami , Pooya Hatami , Shachar Lovett

We prove a strong composition theorem for junta complexity and show how such theorems can be used to generically boost the performance of property testers. The $\varepsilon$-approximate junta complexity of a function $f$ is the smallest…

Computational Complexity · Computer Science 2023-07-11 Guy Blanc , Caleb Koch , Carmen Strassle , Li-Yang Tan

Real continuous submodular functions, as a generalization of the corresponding discrete notion to the continuous domain, gained considerable attention recently. The analog notion for entropy functions requires additional properties: a real…

Optimization and Control · Mathematics 2021-02-12 Laszlo Csirmaz

Given a continuous real-valued function on [0, 1], and a closed subset E \subset [0, 1] we denote by f E the restriction of f to E, that is, the function defined only on E that takes the same values as f at every point of E >. The…

Classical Analysis and ODEs · Mathematics 2007-11-29 Jean-Pierre Kahane , Yitzhak Katznelson

For a permutation $\pi:[k] \to [k]$, a function $f:[n] \to \mathbb{R}$ contains a $\pi$-appearance if there exists $1 \leq i_1 < i_2 < \dots < i_k \leq n$ such that for all $s,t \in [k]$, $f(i_s) < f(i_t)$ if and only if $\pi(s) < \pi(t)$.…

Data Structures and Algorithms · Computer Science 2024-08-07 Ilan Newman , Nithin Varma

We examine the notion of $\alpha$-strong singularity for subfactors of a \IIi factor, which is a metric quantity that relates the distance between a unitary in the factor and a subalgebra with the distance between that subalgebra and its…

Operator Algebras · Mathematics 2014-02-26 Pinhas Grossman , Alan Wiggins

It is generally believed that submodular functions -- and the more general class of $\gamma$-weakly submodular functions -- may only be optimized under the non-negativity assumption $f(S) \geq 0$. In this paper, we show that once the…

Data Structures and Algorithms · Computer Science 2019-04-23 Christopher Harshaw , Moran Feldman , Justin Ward , Amin Karbasi

We establish an uncertainty principle for functions $f: \mathbb{Z}/p \rightarrow \mathbb{F}_q$ with constant support (where $p \mid q-1$). In particular, we show that for any constant $S > 0$, functions $f: \mathbb{Z}/p \rightarrow…

Combinatorics · Mathematics 2019-06-27 Saad Quader , Alexander Russell , Ravi Sundaram

We describe a $\tilde{O}(d^{5/6})$-query monotonicity tester for Boolean functions $f:[n]^d \to \{0,1\}$ on the $n$-hypergrid. This is the first $o(d)$ monotonicity tester with query complexity independent of $n$. Motivated by this…

Discrete Mathematics · Computer Science 2019-12-11 Hadley Black , Deeparnab Chakrabarty , C. Seshadhri

We show that if $A \subset [k]^n$, then $A$ is $\epsilon$-close to a junta depending upon at most $\exp(O(|\partial A|/(k^{n-1}\epsilon)))$ coordinates, where $\partial A$ denotes the edge-boundary of $A$ in the $\ell^1$-grid. This is sharp…

Combinatorics · Mathematics 2015-08-18 Itai Benjamini , David Ellis , Ehud Friedgut , Nathan Keller , Arnab Sen

Sequential testing problems involve a complex system with several components, each of which is "working" with some independent probability. The outcome of each component can be determined by performing a test, which incurs some cost. The…

Data Structures and Algorithms · Computer Science 2023-08-22 Rohan Ghuge , Anupam Gupta , Viswanath Nagarajan

We consider a class of sparsity-inducing regularization terms based on submodular functions. While previous work has focused on non-decreasing functions, we explore symmetric submodular functions and their \lova extensions. We show that the…

Machine Learning · Computer Science 2011-06-13 Francis Bach

A set function $f$ on a finite set $V$ is submodular if $f(X) + f(Y) \geq f(X \cup Y) + f(X \cap Y)$ for any pair $X, Y \subseteq V$. The symmetric difference transformation (SD-transformation) of $f$ by a canonical set $S \subseteq V$ is a…

Discrete Mathematics · Computer Science 2019-02-08 Junpei Nakashima , Yukiko Yamauchi , Shuji Kijima , Masafumi Yamashita

A Boolean $k$-monotone function defined over a finite poset domain ${\cal D}$ alternates between the values $0$ and $1$ at most $k$ times on any ascending chain in ${\cal D}$. Therefore, $k$-monotone functions are natural generalizations of…

Data Structures and Algorithms · Computer Science 2016-09-15 Clément L. Canonne , Elena Grigorescu , Siyao Guo , Akash Kumar , Karl Wimmer

Multimodular functions, primarily used in the literature of queueing theory, discrete-event systems, and operations research, constitute a fundamental function class in discrete convex analysis. The objective of this paper is to clarify the…

Optimization and Control · Mathematics 2019-06-25 Satoko Moriguchi , Kazuo Murota

We establish new upper and lower bounds on the number of queries required to test convexity of functions over various discrete domains. 1. We provide a simplified version of the non-adaptive convexity tester on the line. We re-prove the…

Computational Complexity · Computer Science 2019-08-08 Aleksandrs Belovs , Eric Blais , Abhinav Bommireddi
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