Andrea Agazzi

According to our database, Andrea Agazzi authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

A multiscale analysis of mean-field transformers in the moderate interaction regime.

Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi

CoRR, September, 2025

Quantitative convergence of trained single layer neural networks to Gaussian processes.

Eloy Mosig, Andrea Agazzi, Dario Trevisan

CoRR, September, 2025

Global Optimization via Softmin Energy Minimization.

Andrea Agazzi, Vittorio Carlei, Marco Romito, Samuele Saviozzi

CoRR, September, 2025

Emergence of meta-stable clustering in mean-field transformer models.

Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality.

Leonardo Pedroso, Andrea Agazzi, W. P. Maurice H. Heemels, Mauro Salazar

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Global Optimality of Elman-type RNN in the Mean-Field Regime.

Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee

CoRR, 2023

Global optimality of Elman-type RNNs in the mean-field regime.

Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee

Proceedings of the International Conference on Machine Learning, 2023

2022

A Homotopic Approach to Policy Gradients for Linear Quadratic Regulators with Nonlinear Controls.

Craig Xu Chen, Andrea Agazzi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Urgency-aware optimal routing in repeated games through artificial currencies.

Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. Maurice H. Heemels

Eur. J. Control, 2021

Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes.

Andrea Agazzi, Jianfeng Lu

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime.

Andrea Agazzi, Jianfeng Lu

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Temporal-difference learning for nonlinear value function approximation in the lazy training regime.

Andrea Agazzi, Jianfeng Lu

CoRR, 2019