6 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Active Learning MPC Objective Functions from Preferences
Hasna El Hasnaouy, Pablo Krupa, Mario Zanon +1
Designing the objective function in Model Predictive Control (MPC) is challenging when performance assessment criteria are available only from human judgment. We adopt a preference…
Fast Gauss-Newton for Multiclass Cross-Entropy
Mikalai Korbit, Mario Zanon
In multiclass softmax cross-entropy, the full generalized Gauss-Newton (GGN) curvature couples all output logits through the softmax covariance, making curvature-vector products ha…
Second-Order, First-Class: A Composable Stack for Curvature-Aware Training
Mikalai Korbit, Mario Zanon
Second-order methods promise improved stability and faster convergence, yet they remain underused due to implementation overhead, tuning brittleness, and the lack of composable API…
On Two-Player Scalar Discounted Linear Quadratic Games
Chiara Cavalagli, Alberto Bemporad, Mario Zanon
This paper studies feedback Nash equilibria (FNE) in scalar two-player discounted linear-quadratic games. By explicitly discounting the objective function, we reveal the existence…