Piersilvio De Bartolomeis

2022202320241 11 35

Mirco MuttiTechnion在 technion.ac.il 的电子邮件经过验证
Riccardo De SantiETH AI Center在 ethz.ch 的电子邮件经过验证
Marcello RestelliAssociate Professor, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Fanny YangETH Zurich在 inf.ethz.ch 的电子邮件经过验证
Konstantin DonhauserETH Zuerich在 ai.ethz.ch 的电子邮件经过验证
Amartya SanyalUniversity of Copenhagen在 di.ku.dk 的电子邮件经过验证
Antonio OrvietoELLIS Institute Tübingen, Max Planck Institute for Intelligent Systems在 tue.ellis.eu 的电子邮件经过验证
Giambattista ParascandoloOpenAI在 openai.com 的电子邮件经过验证
Javier AbadETH Zurich在 ai.ethz.ch 的电子邮件经过验证

在 ethz.ch 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Challenging common assumptions in convex reinforcement learning M Mutti, R De Santi, P De Bartolomeis, M Restelli Advances in Neural Information Processing Systems, 2022	22	2022
Convex reinforcement learning in finite trials M Mutti, R De Santi, P De Bartolomeis, M Restelli Journal of Machine Learning Research, 2023	14	2023
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	7	2024
Enhancing unit-tests for invariance discovery P De Bartolomeis, A Orvieto, G Parascandolo Spurious Correlations, Invariance and Stability Workshop (ICML), 2022	2	2022
How robust accuracy suffers from certified training with convex relaxations P De Bartolomeis, J Clarysse, A Sanyal, F Yang I Can’t Believe It’s Not Better Workshop (NeurIPS), 2022	2	2022
Detecting critical treatment effect bias in small subgroups P De Bartolomeis, J Abad, K Donhauser, F Yang Conference on Uncertainty in Artificial Intelligence, 2024	1	2024

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