113 citations · 348 across the 23 of their papers we have counts for
5 papers · 1 filter
Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data
Jannik Presberger, Alexander Männel, Maynard Koch +3
Understanding activities of Internet scanners is challenging; it often requires identifying relationships between sources, a task for which semantic annotations are scarce. This wo…
Inapproximability of a Pair of Forms Defining a Partial Boolean Function
David Stein, Bjoern Andres
We consider the problem of jointly minimizing forms of two Boolean functions such that and so as to separate disjoint sets $A \cu…
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer +5
This paper introduces a novel algorithm for transductive inference in higher-order MRFs, where the unary energies are parameterized by a variable classifier. The considered task is…
Convexification of Learning from Constraints
Iaroslav Shcherbatyi, Bjoern Andres
Regularized empirical risk minimization with constrained labels (in contrast to fixed labels) is a remarkably general abstraction of learning. For common loss and regularization fu…
Estimating Maximally Probable Constrained Relations by Mathematical Programming
Lizhen Qu, Bjoern Andres
Estimating a constrained relation is a fundamental problem in machine learning. Special cases are classification (the problem of estimating a map from a set of to-be-classified ele…