Ant Colony Optimization Beats Resampling on Noisy Functions. - Tobias Friedrich 001; Timo Kötzing; Francesco Quinzan; Andrew M. Sutton (GECCO (Companion), 2016)

Resampling vs Recombination: a Statistical Run Time Estimation. - Tobias Friedrich 001; Timo Kötzing; Francesco Quinzan; Andrew M. Sutton (FOGA, 2017)

Approximating optimization problems using EAs on scale-free networks. - Ankit Chauhan; Tobias Friedrich 001; Francesco Quinzan (GECCO, 2017)

Improving the run time of the (1 + 1) evolutionary algorithm with luby sequences. - Tobias Friedrich 001; Timo Kötzing; Francesco Quinzan; Andrew M. Sutton (GECCO, 2018)

Escaping large deceptive basins of attraction with heavy-tailed mutation operators. - Tobias Friedrich 001; Francesco Quinzan; Markus Wagner 007 (GECCO, 2018)

Heavy-Tailed Mutation Operators in Single-Objective Combinatorial Optimization. - Tobias Friedrich 001; Andreas Göbel 001; Francesco Quinzan; Markus Wagner 007 (PPSN (1), 2018)

Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints. - Tobias Friedrich 001; Andreas Göbel 001; Frank Neumann 001; Francesco Quinzan; Ralf Rothenberger (AAAI, 2019)

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. - Vanja Doskoc; Tobias Friedrich 001; Andreas Göbel 001; Aneta Neumann; Frank Neumann 001; Francesco Quinzan (ECAI, 2020)

Adaptive Sampling for Fast Constrained Maximization of Submodular Functions. - Francesco Quinzan; Vanja Doskoc; Andreas Göbel 001; Tobias Friedrich 001 (AISTATS, 2021)

Adaptive Sampling for Fast Constrained Maximization of Submodular Function. - Francesco Quinzan; Vanja Doskoc; Andreas Göbel 001; Tobias Friedrich 001 (CoRR, 2021)

Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations. - Francesco Quinzan; Andreas Göbel 001; Markus Wagner 007; Tobias Friedrich 001 (Nat. Comput., 2021)

Fast Feature Selection with Fairness Constraints. - Francesco Quinzan; Rajiv Khanna; Moshik Hershcovitch; Sarel Cohen; Daniel G. Waddington; Tobias Friedrich 001; Michael W. Mahoney (AISTATS, 2023)

Optimal Transport for Correctional Learning. - Rebecka Winqvist; Inês Lourenço; Francesco Quinzan; Cristian R. Rojas; Bo Wahlberg (CDC, 2023)

DRCFS: Doubly Robust Causal Feature Selection. - Francesco Quinzan; Ashkan Soleymani; Patrick Jaillet; Cristian R. Rojas; Stefan Bauer (ICML, 2023)

Doubly Robust Structure Identification from Temporal Data. - Emmanouil Angelis; Francesco Quinzan; Ashkan Soleymani; Patrick Jaillet; Stefan Bauer (CoRR, 2023)

Combinatorial problems and scalability in artificial intelligence - Francesco Quinzan (2023)

Learning Decision Policies with Instrumental Variables through Double Machine Learning. - Daqian Shao; Ashkan Soleymani; Francesco Quinzan; Marta Kwiatkowska (ICML, 2024)

Learning Counterfactually Invariant Predictors. - Francesco Quinzan; Cecilia Casolo; Krikamol Muandet; Yucen Luo; Niki Kilbertus (Trans. Mach. Learn. Res., 2024)

Diffusion-Based Causal Representation Learning. - Amir Mohammad Karimi-Mamaghan; Andrea Dittadi; Stefan Bauer; Karl Henrik Johansson; Francesco Quinzan (Entropy, 2024)

When Should We Orchestrate Multiple Agents? - Umang Bhatt; Sanyam Kapoor; Mihir Upadhyay; Ilia Sucholutsky; Francesco Quinzan; Katherine M. Collins; Adrian Weller; Andrew Gordon Wilson; Muhammad Bilal Zafar (CoRR, 2025)

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning. - Kai Ye; Hongyi Zhou; Jin Zhu; Francesco Quinzan; Chengchun Shi (CoRR, 2025)

AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis. - Haroui Ma; Francesco Quinzan; Theresa Willem; Stefan Bauer (CoRR, 2025)

Doubly Robust Alignment for Large Language Models. - Erhan Xu; Kai Ye; Hongyi Zhou; Luhan Zhu; Francesco Quinzan; Chengchun Shi (CoRR, 2025)

Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond. - Daqian Shao; Ashkan Soleymani; Francesco Quinzan; Marta Kwiatkowska (CoRR, 2025)