Piersilvio De Bartolomeis

2022202320242 11 1

Mirco MuttiTechnionVerified email at technion.ac.il
Riccardo De SantiETH AI CenterVerified email at ethz.ch
Marcello RestelliAssociate Professor, Politecnico di MilanoVerified email at polimi.it
Antonio OrvietoELLIS Institute Tübingen, Max Planck Institute for Intelligent SystemsVerified email at tue.ellis.eu
Giambattista ParascandoloOpenAIVerified email at openai.com
Fanny YangETH ZurichVerified email at inf.ethz.ch
Konstantin DonhauserETH ZuerichVerified email at ai.ethz.ch
Javier Abad MartinezETH ZurichVerified email at ai.ethz.ch

Verified email at ethz.ch - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Challenging common assumptions in convex reinforcement learning M Mutti, R De Santi, P De Bartolomeis, M Restelli Advances in Neural Information Processing Systems 36, 2022	11	2022
Enhancing unit-tests for invariance discovery P De Bartolomeis, A Orvieto, G Parascandolo ICML Workshop on Spurious Correlations, Invariance and Stability, 2022	2	2022
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 27, 2024	1	2024
Convex reinforcement learning in finite trials M Mutti, R De Santi, P De Bartolomeis, M Restelli Journal of Machine Learning Research 24 (250), 1-42, 2023		2023

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