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 |
Detecting critical treatment effect bias in small subgroups P De Bartolomeis, J Abad, K Donhauser, F Yang Conference on Uncertainty in Artificial Intelligence, 2024 | 2 | 2024 |
Efficient randomized experiments using foundation models P De Bartolomeis, J Abad, G Wang, K Donhauser, RM Duch, F Yang, ... arXiv preprint arXiv:2502.04262, 2025 | | 2025 |