Gian Maria Marconi

According to our database, Gian Maria Marconi authored at least 11 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation.

Nicolas Bougie, Gian Maria Marconi, Xiaotong Ye, Narimasa Watanabe

CoRR, April, 2026

AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation.

Nicolas Bougie, Gian Maria Marconi, Tony Yip, Narimasa Watanabe

CoRR, January, 2026

AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation.

Nicolas Bougie, Gian Maria Marconi, Xiaotong Ye, Narimawa Watanabe

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Variational Learning Induces Adaptive Label Smoothing.

Sin-Han Yang, Zhedong Liu, Gian Maria Marconi, Mohammad Emtiyaz Khan

CoRR, February, 2025

2024

Variational Learning is Effective for Large Deep Networks.

Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

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

2023

Bridging the Gap Between Target Networks and Functional Regularization.

Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan

Trans. Mach. Learn. Res., 2023

2021

Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models.

Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto

IEEE Robotics Autom. Lett., 2021

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization.

Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal, Mohammad Emtiyaz Khan

CoRR, 2021

2020

Structured Machine Learning for Robotics.

Gian Maria Marconi

PhD thesis, 2020

Hyperbolic Manifold Regression.

Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Manifold Structured Prediction.

Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018