We consider a bag (multiset) monad on the category of standard Borel spaces, and show that it gives a free measurable commutative monoid. Firstly, we show that a recent measurability result for probabilistic database queries (Grohe and Lindner, ICDT 2020) follows quickly from the fact that queries can be expressed in monad-based terms. We also extend this measurability result to a fuller query language. Secondly, we discuss a distributive law between probability and bag monads, and we illustrate that this is useful for generating probabilistic databases
We show from a categorical point of view that probability measures on certain measurable or topologi...
Probabilistic databases (PDBs) model uncertainty in data in a quantitativeway. In the established fo...
The machine learning community has recently shown a lot of interest in practical probabilistic progr...
Probability theory can be studied synthetically as the computational effect embodied by a commutativ...
AbstractIn this paper, we introduce a monad of random choice for domains that does not suffer from t...
We give an adequate denotational semantics for languages with recursive higher-order types, continuo...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
International audienceA long-standing open problem in the semantics of programming languages support...
In this work, we study the problem of computing a tuple's expected multiplicity over probabilistic d...
Abstract. In this paper we define a model of randomly generated databases andshow how one can comput...
This article charts the tractability frontier of two classes of relational algebra queries in tuple-...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
The machine learning community has recently shown a lot of interest in practical probabilistic progr...
Probabilistic databases are commonly known in the form of the tuple-independent model, where the val...
We show that the Giry monad is not strong with respect to the canonical symmetric monoidal closed st...
We show from a categorical point of view that probability measures on certain measurable or topologi...
Probabilistic databases (PDBs) model uncertainty in data in a quantitativeway. In the established fo...
The machine learning community has recently shown a lot of interest in practical probabilistic progr...
Probability theory can be studied synthetically as the computational effect embodied by a commutativ...
AbstractIn this paper, we introduce a monad of random choice for domains that does not suffer from t...
We give an adequate denotational semantics for languages with recursive higher-order types, continuo...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
International audienceA long-standing open problem in the semantics of programming languages support...
In this work, we study the problem of computing a tuple's expected multiplicity over probabilistic d...
Abstract. In this paper we define a model of randomly generated databases andshow how one can comput...
This article charts the tractability frontier of two classes of relational algebra queries in tuple-...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
The machine learning community has recently shown a lot of interest in practical probabilistic progr...
Probabilistic databases are commonly known in the form of the tuple-independent model, where the val...
We show that the Giry monad is not strong with respect to the canonical symmetric monoidal closed st...
We show from a categorical point of view that probability measures on certain measurable or topologi...
Probabilistic databases (PDBs) model uncertainty in data in a quantitativeway. In the established fo...
The machine learning community has recently shown a lot of interest in practical probabilistic progr...