5 citations · 5 across the 4 of their papers we have counts for
8 papers
Probabilistic Query Evaluation with Bag Semantics
Martin Grohe, Peter Lindner, Christoph Standke
We study the complexity of evaluating queries on probabilistic databases under bag semantics. We focus on self-join free conjunctive queries, and probabilistic databases where occu…
Probabilistic Data with Continuous Distributions
Martin Grohe, Benjamin Lucien Kaminski, Joost-Pieter Katoen +1
Statistical models of real world data typically involve continuous probability distributions such as normal, Laplace, or exponential distributions. Such distributions are supported…
Infinite Probabilistic Databases
Martin Grohe, Peter Lindner
Probabilistic databases (PDBs) model uncertainty in data in a quantitative way. In the established formal framework, probabilistic (relational) databases are finite probability spa…
Independence in Infinite Probabilistic Databases
Martin Grohe, Peter Lindner
Probabilistic databases (PDBs) model uncertainty in data. The current standard is to view PDBs as finite probability spaces over relational database instances. Since many attribute…
Tuple-Independent Representations of Infinite Probabilistic Databases
Nofar Carmeli, Martin Grohe, Peter Lindner +1
Probabilistic databases (PDBs) are probability spaces over database instances. They provide a framework for handling uncertainty in databases, as occurs due to data integration, no…
Generative Datalog with Continuous Distributions
Martin Grohe, Benjamin Lucien Kaminski, Joost-Pieter Katoen +1
Arguing for the need to combine declarative and probabilistic programming, Bárány et al. (TODS 2017) recently introduced a probabilistic extension of Datalog as a "purely declarati…