| Counterfactual mean embeddings K Muandet, M Kanagawa, S Saengkyongam, S Marukatat Journal of Machine Learning Research 22 (162), 1-71, 2021 | 59 | 2021 |
| Invariant policy learning: A causal perspective S Saengkyongam, N Thams, J Peters, N Pfister IEEE transactions on pattern analysis and machine intelligence 45 (7), 8606-8620, 2023 | 32 | 2023 |
| Identifying representations for intervention extrapolation S Saengkyongam, E Rosenfeld, P Ravikumar, N Pfister, J Peters International Conference on Learning Representations (ICLR), 2023 | 26 | 2023 |
| Exploiting independent instruments: Identification and distribution generalization S Saengkyongam, L Henckel, N Pfister, J Peters International Conference on Machine Learning, 18935-18958, 2022 | 25 | 2022 |
| Statistical testing under distributional shifts N Thams, S Saengkyongam, N Pfister, J Peters Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 18 | 2023 |
| Learning joint nonlinear effects from single-variable interventions in the presence of hidden confounders S Saengkyongam, R Silva Conference on Uncertainty in Artificial Intelligence, 300-309, 2020 | 13 | 2020 |
| Model-based causal feature selection for general response types L Kook, S Saengkyongam, AR Lundborg, T Hothorn, J Peters Journal of the American Statistical Association 120 (550), 1090-1101, 2025 | 11 | 2025 |
| Distributional Instrumental Variable Method A Holovchak, S Saengkyongam, N Meinshausen, X Shen arXiv preprint arXiv:2502.07641, 2025 | 1 | 2025 |
| Effect-invariant mechanisms for policy generalization S Saengkyongam, N Pfister, P Klasnja, S Murphy, J Peters Journal of Machine Learning Research 25 (34), 1-36, 2024 | 1 | 2024 |
| Hybrid modeling of photoplethysmography for non-invasive monitoring of cardiovascular parameters E Palumbo, S Saengkyongam, MR Cervera, J Behrmann, AC Miller, ... arXiv preprint arXiv:2511.14452, 2025 | | 2025 |
| Exploiting Heterogeneity for Robust Policy Learning and Prediction under Interventions S Saengkyongam ETH Zurich, 2025 | | 2025 |
| Observational Model of Aerosol Effects on Cloud Morphology and Lifetime D Watson-Parris, WK Jones, L Kruitwagen, T Pearce, S Saengkyongam, ... American Meteorological Society Meeting Abstracts 102, 1A. 3, 2022 | | 2022 |
| Tracking Marine Boundary Layer Cloud Transitions Using Machine Learning M Christensen, W Jones, L Kruitwagen, T Pearce, S Saengkyongam, ... AGU Fall Meeting Abstracts 2020, A118-0012, 2020 | | 2020 |
| Efficient computation of the stochastic behavior of partial sum processes S Saengkyongam, A Hayter, S Kiatsupaibul, W Liu Computational Statistics, 1-16, 2019 | | 2019 |
Jonas PetersProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
