Large-width functional asymptotics for deep Gaussian neural networks. - Daniele Bracale; Stefano Favaro; Sandra Fortini; Stefano Peluchetti (ICLR, 2021)

Infinite-channel deep stable convolutional neural networks. - Daniele Bracale; Stefano Favaro; Sandra Fortini; Stefano Peluchetti (CoRR, 2021)

Microfoundation inference for strategic prediction. - Daniele Bracale; Subha Maity; Felipe Maia Polo; Seamus Somerstep; Moulinath Banerjee; Yuekai Sun (AISTATS, 2025)

Learning the Distribution Map in Reverse Causal Performative Prediction. - Daniele Bracale; Subha Maity; Yuekai Sun; Moulinath Banerjee (AISTATS, 2025)

Dynamic Pricing in the Linear Valuation Model using Shape Constraints. - Daniele Bracale; Moulinath Banerjee; Yuekai Sun; Salam Turki; Kevin Stoll (Trans. Mach. Learn. Res., 2025)

Optimal Nonlinear Online Learning under Sequential Price Competition via s-Concavity. - Daniele Bracale; Moulinath Banerjee; Cong Shi; Yuekai Sun (CoRR, 2025)