AI Synergies


Anna Louise D. Latour

PhD candidate

Stochastic Constraint Propagation for Mining Probabilistic Networks

A number of data mining problems on probabilistic networks can be modelled as Stochastic Constraint Optimisation and Satisfaction Problems (SCPs), i.e., problems that involve objectives or constraints with a stochastic component. 

We present a new Constraint Programming approach to solving SCPs on monotonic distributions. Here, we exploit the structure of the Ordered Binary Decision Diagram in which these problems can be encoded, as well as the property of monotonicity.


Anna Louise is a PhD student at Leiden University and a visiting researcher at Universit√© catholique de Louvain, under the supervision of dr. Siegfried Nijssen, prof. dr. Joost Kok and prof. dr. Holger Hoos. Her research focuses on the intersection of Constraint Programming and Probabilistic Logic Programming.


Syrah room
Research presentations AI
Day 2 - Nov 7th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

More info about our events