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Sorawit Saengkyongam
Sorawit Saengkyongam
ETH Zürich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Counterfactual mean embeddings
K Muandet, M Kanagawa, S Saengkyongam, S Marukatat
Journal of Machine Learning Research 22 (162), 1-71, 2021
402021
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
202023
Exploiting independent instruments: Identification and distribution generalization
S Saengkyongam, L Henckel, N Pfister, J Peters
International Conference on Machine Learning, 18935-18958, 2022
162022
Statistical testing under distributional shifts
N Thams, S Saengkyongam, N Pfister, J Peters
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
122023
Identifying Representations for Intervention Extrapolation
S Saengkyongam, E Rosenfeld, P Ravikumar, N Pfister, J Peters
International Conference on Learning Representations (ICLR), 2024
102024
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
82020
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, 2024
32024
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
2024
Efficient computation of the stochastic behavior of partial sum processes
S Saengkyongam, A Hayter, S Kiatsupaibul, W Liu
Computational Statistics, 1-16, 2019
2019
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Articles 1–9