Piersilvio De Bartolomeis

13 papers A* 2A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal Lifting of Neural Representations: Zero-Shot Generalization for Causal Inferences. CoRR Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello
2025	A*	`conf`	Doubly robust identification of treatment effects from multiple environments. ICLR Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang
2025	J	`jnl`	Doubly robust identification of treatment effects from multiple environments. CoRR Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang
2025	J	`jnl`	Efficient Randomized Experiments Using Foundation Models. CoRR Piersilvio De Bartolomeis, Javier Abad, Guanbo Wang, Konstantin Donhauser, Raymond M. Duch, Fanny Yang, Issa J. Dahabreh
2025	J	`jnl`	Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data. CoRR Rickard Karlsson, Piersilvio De Bartolomeis, Issa J. Dahabreh, Jesse H. Krijthe
2024	A	`conf`	Detecting critical treatment effect bias in small subgroups. UAI Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
2024	J	`jnl`	Detecting critical treatment effect bias in small subgroups. CoRR Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
2024	A	`conf`	Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. AISTATS Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang
2023	J	`jnl`	Convex Reinforcement Learning in Finite Trials. J. Mach. Learn. Res. Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
2023	J	`jnl`	Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. CoRR Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang
2023	J	`jnl`	How robust accuracy suffers from certified training with convex relaxations. CoRR Piersilvio De Bartolomeis, Jacob Clarysse, Amartya Sanyal, Fanny Yang
2022	A*	`conf`	Challenging Common Assumptions in Convex Reinforcement Learning. NeurIPS Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
2022	J	`jnl`	Challenging Common Assumptions in Convex Reinforcement Learning. CoRR Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli