| Amortized inference for causal structure learning L Lorch, S Sussex, J Rothfuss, A Krause, B Schölkopf Advances in Neural Information Processing Systems 35, 13104-13118, 2022 | 60 | 2022 |
| Combining parametric and nonparametric models for off-policy evaluation O Gottesman, Y Liu, S Sussex, E Brunskill, F Doshi-Velez International Conference on Machine Learning, 2366-2375, 2019 | 36 | 2019 |
| Model-based causal Bayesian optimization S Sussex, A Makarova, A Krause arXiv preprint arXiv:2211.10257, 2022 | 24 | 2022 |
| Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning S Sussex, C Uhler, A Krause Advances in Neural Information Processing Systems 34 2, 777-788, 2022 | 21 | 2022 |
| Learning long-term crop management strategies with cyclesgym M Turchetta, L Corinzia, S Sussex, A Burton, J Herrera, I Athanasiadis, ... Advances in neural information processing systems 35, 11396-11409, 2022 | 16 | 2022 |
| Standardizing Structural Causal Models W Ormaniec, S Sussex, L Lorch, B Schölkopf, A Krause arXiv preprint arXiv:2406.11601, 2024 | 4 | 2024 |
| Adversarial Causal Bayesian Optimization S Sussex, P Giuseppe Sessa, A Makarova, A Krause arXiv preprint arXiv:2307.16625, 2023 | 2 | 2023 |
| Stitched trajectories for off-policy learning S Sussex, O Gottesman, Y Liu, S Murphy, E Brunskill, F Doshi-Velez ICML Workshop, 2018 | 1 | 2018 |
