Francesco Quinzan

According to our database, Francesco Quinzan authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Combinatorial problems and scalability in artificial intelligence

Francesco Quinzan

PhD thesis, 2023

Doubly Robust Structure Identification from Temporal Data.

Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer

CoRR, 2023

Diffusion Based Causal Representation Learning.

Amir Mohammad Karimi-Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan

CoRR, 2023

DRCFS: Doubly Robust Causal Feature Selection.

Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer

Proceedings of the International Conference on Machine Learning, 2023

Optimal Transport for Correctional Learning.

Rebecka Winqvist, Inês Lourenço, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Fast Feature Selection with Fairness Constraints.

Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich, Michael W. Mahoney

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Counterfactually Invariant Predictors.

Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Niki Kilbertus, Yucen Luo

CoRR, 2022

2021

Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations.

Francesco Quinzan, Andreas Göbel, Markus Wagner, Tobias Friedrich

Nat. Comput., 2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Function.

Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich

CoRR, 2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Functions.

Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings.

Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints.

Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Heavy-Tailed Mutation Operators in Single-Objective Combinatorial Optimization.

Tobias Friedrich, Andreas Göbel, Francesco Quinzan, Markus Wagner

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Escaping large deceptive basins of attraction with heavy-tailed mutation operators.

Tobias Friedrich, Francesco Quinzan, Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Improving the run time of the (1 + 1) evolutionary algorithm with luby sequences.

Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Approximating optimization problems using EAs on scale-free networks.

Ankit Chauhan, Tobias Friedrich, Francesco Quinzan

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Resampling vs Recombination: a Statistical Run Time Estimation.

Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton

Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

2016

Ant Colony Optimization Beats Resampling on Noisy Functions.

Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton

Proceedings of the Genetic and Evolutionary Computation Conference, 2016