5 citations · 5 across the 4 of their papers we have counts for
4 papers
Uncertainty quantification for subgradient descent, with applications to relaxations of discrete problems
Conor McMeel, Panos Parpas
We consider the problem of minimizing a convex function that depends on an uncertain parameter . The uncertainty in the objective function means that the optimum, , is a…
Relation-aware Video Reading Comprehension for Temporal Language Grounding
Jialin Gao, Xin Sun, Mengmeng Xu +2
Temporal language grounding in videos aims to localize the temporal span relevant to the given query sentence. Previous methods treat it either as a boundary regression task or a s…
Sensitivity Analysis of Submodular Function Maximization
Conor McMeel, Yuichi Yoshida
We study the recently introduced idea of worst-case sensitivity for monotone submodular maximization with cardinality constraint , which captures the degree to which the output…
Majorisation-minimisation algorithms for minimising the difference between lattice submodular functions
Conor McMeel, Panos Parpas
We consider the problem of minimising functions represented as a difference of lattice submodular functions. We propose analogues to the SupSub, SubSup and ModMod routines for latt…