no code implementations • 10 Nov 2023 • Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
Furthermore, potential causes may be correlated in practical applications.
no code implementations • 9 Nov 2023 • Amir Mohammad Karimi Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan
Causal reasoning can be considered a cornerstone of intelligent systems.
no code implementations • 12 Jun 2023 • Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
Knowing the features of a complex system that are highly relevant to a particular target variable is of fundamental interest in many areas of science.
no code implementations • 4 Apr 2023 • Rebecka Winqvist, Inês Lourenco, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg
In this framework, an expert agent, referred to as the teacher, modifies the data used by a learning agent, known as the student, to improve its estimation process.
1 code implementation • 20 Jul 2022 • Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Yucen Luo, Niki Kilbertus
Notions of counterfactual invariance (CI) have proven essential for predictors that are fair, robust, and generalizable in the real world.
no code implementations • 28 Feb 2022 • Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich, Michael W. Mahoney
We study the fundamental problem of selecting optimal features for model construction.
no code implementations • 12 Feb 2021 • Francesco Quinzan, Vanja Doskoč, Andreas Göbel, Tobias Friedrich
Our algorithm is suitable to maximize a non-monotone submodular function under a $p$-system side constraint, and it achieves a $(p + O(\sqrt{p}))$-approximation for this problem, after only poly-logarithmic adaptive rounds and polynomial queries to the valuation oracle function.
no code implementations • 15 Nov 2019 • Vanja Doskoč, Tobias Friedrich, Andreas Göbel, Frank Neumann, Aneta Neumann, Francesco Quinzan
We show that our proposed algorithm competes with the state-of-the-art in static settings.
no code implementations • 12 Apr 2017 • Ankit Chauhan, Tobias Friedrich, Francesco Quinzan
It has been observed that many complex real-world networks have certain properties, such as a high clustering coefficient, a low diameter, and a power-law degree distribution.