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Piersilvio De Bartolomeis
Piersilvio De Bartolomeis
ETH Zürich
Email verificata su ethz.ch - Home page
Titolo
Citata da
Citata da
Anno
Challenging common assumptions in convex reinforcement learning
M Mutti, R De Santi, P De Bartolomeis, M Restelli
Advances in Neural Information Processing Systems, 2022
112022
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
P De Bartolomeis, J Abad, K Donhauser, F Yang
International Conference on Artificial Intelligence and Statistics, 2024
22024
Enhancing unit-tests for invariance discovery
P De Bartolomeis, A Orvieto, G Parascandolo
ICML Workshop on Spurious Correlations, Invariance and Stability, 2022
22022
Convex reinforcement learning in finite trials
M Mutti, R De Santi, P De Bartolomeis, M Restelli
Journal of Machine Learning Research, 2023
12023
Detecting critical treatment effect bias in small subgroups
P De Bartolomeis, J Abad, K Donhauser, F Yang
Conference on Uncertainty in Artificial Intelligence, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–5