Piersilvio De Bartolomeis

According to our database1, Piersilvio De Bartolomeis authored at least 9 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data.
CoRR, July, 2025

Causal Lifting of Neural Representations: Zero-Shot Generalization for Causal Inferences.
CoRR, February, 2025

Efficient Randomized Experiments Using Foundation Models.
CoRR, February, 2025

Doubly robust identification of treatment effects from multiple environments.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Detecting critical treatment effect bias in small subgroups.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

Hidden yet quantifiable: A lower bound for confounding strength using randomized trials.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Convex Reinforcement Learning in Finite Trials.
J. Mach. Learn. Res., 2023

How robust accuracy suffers from certified training with convex relaxations.
CoRR, 2023

2022
Challenging Common Assumptions in Convex Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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