Francesco Quinzan

Affiliations:

University of Oxford, Department of Computer Science, Oxford, UK
KTH Royal Institute of Technology, Division of Decision and Control Systems, Stockholm, Sweden (former)
Hasso Plattner Institute, Potsdam, Germany (former)
University of Potsdam, Germany (former, PhD 2023)

According to our database¹, Francesco Quinzan authored at least 29 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

BASIS: Batchwise Advantage Estimation from Single-Rollout Information Sharing for LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, May, 2026

Learning to Orchestrate Agents under Uncertainty.

[BibT_eX]

[DOI]

Mary Chriselda Antony Oliver

CoRR, May, 2026

2025

Representation Invariance and Allocation: When Subgroup Balance Matters.

[BibT_eX]

[DOI]

CoRR, December, 2025

Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, October, 2025

Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond.

[BibT_eX]

[DOI]

CoRR, June, 2025

Doubly Robust Alignment for Large Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis.

[BibT_eX]

[DOI]

CoRR, April, 2025

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, April, 2025

When Should We Orchestrate Multiple Agents?

[BibT_eX]

[DOI]

CoRR, March, 2025

Double Machine Learning Based Structure Identification from Temporal Data.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

2024

Diffusion-Based Causal Representation Learning.

[BibT_eX]

[DOI]

Amir Mohammad Karimi-Mamaghan

Andrea Dittadi

Stefan Bauer

Karl Henrik Johansson

Francesco Quinzan

Entropy, July, 2024

Learning Counterfactually Invariant Predictors.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Learning Decision Policies with Instrumental Variables through Double Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Combinatorial problems and scalability in artificial intelligence

[BibT_eX]

[DOI]

Francesco Quinzan

PhD thesis, 2023

Doubly Robust Structure Identification from Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2023

DRCFS: Doubly Robust Causal Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Optimal Transport for Correctional Learning.

[BibT_eX]

[DOI]

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

Fast Feature Selection with Fairness Constraints.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Nat. Comput., 2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Function.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Functions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

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