papers

Publications (8)

math.CO2004

Quasi-concave functions on antimatroids

Vadim E. Levit, Yulia Kempner

In this paper we consider quasi-concave set functions defined on antimatroids. There are many equivalent axiomatizations of antimatroids, that may be separated into two categories:…

stat.ME2017

Combinatorics of Distance Covariance: Inclusion-Minimal Maximizers of Quasi-Concave Set Functions for Diverse Variable Selection

Praneeth Vepakomma, Yulia Kempner

In this paper we show that the negative sample distance covariance function is a quasi-concave set function of samples of random variables that are not statistically independent. W…

math.CO2021

Cospanning characterizations of violator and co-violator spaces

Yulia Kempner, Vadim E. Levit

Given a finite set E and an operator sigma:2^{E}-->2^{E}, two subsets X,Y of the ground set E are cospanning if sigma(X)=sigma(Y) (Korte, Lovasz, Schrader; 1991). We investigate co…

math.CO2008

Geometry of antimatroidal point sets

Yulia Kempner, Vadim E. Levit

The notion of "antimatroid with repetition" was conceived by Bjorner, Lovasz and Shor in 1991 as a multiset extension of the notion of antimatroid. When the underlying set consists…

math.CO2003

Correspondence Between Two Antimatroid Algorithmic Characterizations

Yulia Kempner, Vadim E. Levit

The basic distinction between already known algorithmic characterizations of matroids and antimatroids is in the fact that for antimatroids the ordering of elements is of great imp…

math.OC2021

Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity

Praneeth Vepakomma, Yulia Kempner, Ramesh Raskar

Classes of set functions along with a choice of ground set are a bedrock to determine and develop corresponding variants of greedy algorithms to obtain efficient solutions for comb…