Next Loria colloquium will take place on Wednesday, June 7th at 1:30 pm in the Amphitheater.
We will have the pleasure to welcome Mário Figueiredo, professor at the Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, for a presentation entitled Causal Discovery from Observation Data: Introduction and Some Recent Advances.
Causal discovery is an active research field that aims to uncover the underlying causal mechanisms that drive the relationship between a collection of variables and which has applications in many areas, including medicine, biology, economics, and social sciences. In principle, identifying causal relationships requires interventions.
However, intervening is often impossible, impractical, or unethical, which has stimulated much research on causal discovery from purely observational data or mixed observational-interventional data. In this talk, after overviewing the causal discovery field, I will discuss some recent advances, namely on causal discovery from data with latent interventions and on what is the quintessential causal discovery problem: distinguishing the cause from the effect on a pair of dependent variables.
Mário Figueiredo received his PhD (1994) in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon, where he is an IST Distinguished Professor and holder of the Feedzai
Chair on Machine Learning. He is a senior researcher and group leader at Instituto de Telecomunicações. His research areas include machine learning, signal processing, and optimization. He received several
honors and awards, namely: Fellow of the Institute of Electrical and Electronics Engineers (IEEE), Fellow of the International Association for Pattern Recognition (IAPR), Fellow of the European Association for Signal Processing (EURASIP), W. R. G. Baker Award (IEEE), EURASIP Technical Achievement Award, member of the Portuguese Academy of Engineering, member of the Lisbon Academy of Science. From 2014 to
2018 he was included in the annual list of “Highly Cited Researchers”.
To participate to the colloquium, people from outside the laboratory must register by writing an email to marie.baron (at) loria.fr